Systems And Soft Computing

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• Author : Nikhil Marriwala,C. C Tripathi,Shruti Jain,Shivakumar Mathapathi
• Publisher : Springer Nature
• Release Date : 2021-06-22
• Total pages : 653
• ISBN : 9789811610486
• File Size : 27,7 Mb
• Total Download : 818
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Download Soft Computing for Intelligent Systems in PDF, Epub, and Kindle

This book presents high-quality research papers presented at the International Conference on Soft Computing for Intelligent Systems (SCIS 2020), held during 18–20 December 2020 at University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, Haryana, India. The book encompasses all branches of artificial intelligence, computational sciences and machine learning which is based on computation at some level such as AI-based Internet of things, sensor networks, robotics, intelligent diabetic retinopathy, intelligent cancer genes analysis using computer vision, evolutionary algorithms, fuzzy systems, medical automatic identification intelligence system and applications in agriculture, health care, smart grid and instrumentation systems. The book is helpful for educators, researchers and developers working in the area of recent advances and upcoming technologies utilizing computational sciences in signal processing, imaging, computing, instrumentation, artificial intelligence and their applications.

• Author : Ivan Zelinka,Roman Senkerik,Ganapati Panda,Padma Suresh Lekshmi Kanthan
• Publisher : Springer
• Release Date : 2018-09-24
• Total pages : 871
• ISBN : 9789811319365
• File Size : 23,9 Mb
• Total Download : 713
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Download Soft Computing Systems in PDF, Epub, and Kindle

This book (CCIS 837) constitutes the refereed proceedings of the Second International Conference on Soft Computing Systems, ICSCS 2018, held in Sasthamcotta, India, in April 2018. The 87 full papers were carefully reviewed and selected from 439 submissions. The papers are organized in topical sections on soft computing, evolutionary algorithms, image processing, deep learning, artificial intelligence, big data analytics, data minimg, machine learning, VLSI, cloud computing, network communication, power electronics, green energy.

• Author : Behnam Azvine,Nader Azarmi,Detlef D. Nauck
• Publisher : Springer
• Release Date : 2006-12-30
• Total pages : 358
• ISBN : 9783540449171
• File Size : 54,8 Mb
• Total Download : 771
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Download Intelligent Systems and Soft Computing in PDF, Epub, and Kindle

Artificial intelligence has, traditionally focused on solving human-centered problems like natural language processing or common-sense reasoning. On the other hand, for a while now soft computing has been applied successfully in areas like pattern recognition, clustering, or automatic control. The papers in this book explore the possibility of bringing these two areas together. This book is unique in the way it concentrates on building intelligent software systems by combining methods from diverse disciplines, such as fuzzy set theory, neuroscience, agent technology, knowledge discovery, and symbolic artificial intelligence. The first part of the book focuses on foundational aspects and future directions; the second part provides the reader with an overview of recently developed software tools for building flexible intelligent systems; the final section studies developed applications in various fields.

• Author : Da Ruan
• Publisher : Springer Science & Business Media
• Release Date : 2000-01-14
• Total pages : 506
• ISBN : 379081251X
• File Size : 11,9 Mb
• Total Download : 290
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Download Fuzzy Systems and Soft Computing in Nuclear Engineering in PDF, Epub, and Kindle

This book is an organized edited collection of twenty-one contributed chapters covering nuclear engineering applications of fuzzy systems, neural networks, genetic algorithms and other soft computing techniques. All chapters are either updated review or original contributions by leading researchers written exclusively for this volume. The volume highlights the advantages of applying fuzzy systems and soft computing in nuclear engineering, which can be viewed as complementary to traditional methods. As a result, fuzzy sets and soft computing provide a powerful tool for solving intricate problems pertaining in nuclear engineering. Each chapter of the book is self-contained and also indicates the future research direction on this topic of applications of fuzzy systems and soft computing in nuclear engineering.

• Author : Tofigh Allahviranloo,Witold Pedrycz
• Publisher : Academic Press
• Release Date : 2020-09-01
• Total pages : 388
• ISBN : 9780128229941
• File Size : 18,7 Mb
• Total Download : 395
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Download Soft Numerical Computing in Uncertain Dynamic Systems in PDF, Epub, and Kindle

Soft Numerical Computing in Uncertain Dynamic Systems is intended for system specialists interested in dynamic systems that operate at different time scales. The book discusses several types of errors and their propagation, covering numerical methods—including convergence and consistence properties and characteristics—and proving of related theorems within the setting of soft computing. Several types of uncertainty representation like interval, fuzzy, type 2 fuzzy, granular, and combined uncertain sets are discussed in detail. The book can be used by engineering students in control and finite element fields, as well as all engineering, applied mathematics, economics, and computer science students. One of the important topics in applied science is dynamic systems and their applications. The authors develop these models and deliver solutions with the aid of numerical methods. Since they are inherently uncertain, soft computations are of high relevance here. This is the reason behind investigating soft numerical computing in dynamic systems. If these systems are involved with complex-uncertain data, they will be more practical and important. Real-life problems work with this type of data and most of them cannot be solved exactly and easily—sometimes they are impossible to solve. Clearly, all the numerical methods need to consider error of approximation. Other important applied topics involving uncertain dynamic systems include image processing and pattern recognition, which can benefit from uncertain dynamic systems as well. In fact, the main objective is to determine the coefficients of a matrix that acts as the frame in the image. One of the effective methods exhibiting high accuracy is to use finite differences to fill the cells of the matrix. Explores dynamic models, how time is fundamental to the structure of the model and data, and how a process unfolds Investigates the dynamic relationships between multiple components of a system in modeling using mathematical models and the concept of stability in uncertain environments Exposes readers to many soft numerical methods to simulate the solution function’s behavior

• Author : Fakhreddine O. Karray,Clarence W. De Silva
• Publisher : Addison Wesley Longman
• Release Date : 2004
• Total pages : 592
• ISBN : UOM:39015059578040
• File Size : 36,9 Mb
• Total Download : 679
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Download Soft Computing and Intelligent Systems Design in PDF, Epub, and Kindle

Traditional artificial intelligence (AI) techniques are based around mathematical techniques of symbolic logic, with programming in languages such as Prolog and LISP invented in the 1960s. These are referred to as "crisp" techniques by the soft computing community. The new wave of AI methods seeks inspiration from the world of biology, and is being used to create numerous real-world intelligent systems with the aid of soft computing tools. These new methods are being increasingly taught at the upper end of the curriculum, sometimes as an adjunct to traditional AI courses, and sometimes as a replacement for them. Where a more radical approach is taken and the course is being taught at an introductory level, we have recently published Negnevitsky's book. Karray and Silva will be suitable for the majority of courses which will be found at an advanced level. Karray and de Silva cover the problem of control and intelligent systems design using soft-computing techniques in an integrated manner. They present both theory and applications, including industrial applications, and the book contains numerous worked examples, problems and case studies. Covering the state-of-the-art in soft-computing techniques, the book gives the reader sufficient knowledge to tackle a wide range of complex systems for which traditional techniques are inadequate.

• Author : Andrea Tettamanzi,Marco Tomassini
• Publisher : Springer Science & Business Media
• Release Date : 2013-04-17
• Total pages : 328
• ISBN : 9783662043356
• File Size : 12,9 Mb
• Total Download : 299
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Download Soft Computing in PDF, Epub, and Kindle

Soft computing encompasses various computational methodologies, which, unlike conventional algorithms, are tolerant of imprecision, uncertainty, and partial truth. Soft computing technologies offer adaptability as a characteristic feature and thus permit the tracking of a problem through a changing environment. Besides some recent developments in areas like rough sets and probabilistic networks, fuzzy logic, evolutionary algorithms, and artificial neural networks are core ingredients of soft computing, which are all bio-inspired and can easily be combined synergetically. This book presents a well-balanced integration of fuzzy logic, evolutionary computing, and neural information processing. The three constituents are introduced to the reader systematically and brought together in differentiated combinations step by step. The text was developed from courses given by the authors and offers numerous illustrations as

• Author : Ali Zilouchian,Mo Jamshidi
• Publisher : CRC Press
• Release Date : 2001-03-27
• Total pages : 504
• ISBN : 9781420058147
• File Size : 43,7 Mb
• Total Download : 710
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Download Intelligent Control Systems Using Soft Computing Methodologies in PDF, Epub, and Kindle

In recent years, intelligent control has emerged as one of the most active and fruitful areas of research and development. Until now, however, there has been no comprehensive text that explores the subject with focus on the design and analysis of biological and industrial applications. Intelligent Control Systems Using Soft Computing Methodologies does all that and more. Beginning with an overview of intelligent control methodologies, the contributors present the fundamentals of neural networks, supervised and unsupervised learning, and recurrent networks. They address various implementation issues, then explore design and verification of neural networks for a variety of applications, including medicine, biology, digital signal processing, object recognition, computer networking, desalination technology, and oil refinery and chemical processes. The focus then shifts to fuzzy logic, with a review of the fundamental and theoretical aspects, discussion of implementation issues, and examples of applications, including control of autonomous underwater vehicles, navigation of space vehicles, image processing, robotics, and energy management systems. The book concludes with the integration of genetic algorithms into the paradigm of soft computing methodologies, including several more industrial examples, implementation issues, and open problems and open problems related to intelligent control technology. Suitable as a textbook or a reference, Intelligent Control Systems explores recent advances in the field from both the theoretical and the practical viewpoints. It also integrates intelligent control design methodologies to give designers a set of flexible, robust controllers and provide students with a tool for solving the examples and exercises within the book.

• Author : S G Tzafestas
• Publisher : World Scientific
• Release Date : 1999-05-21
• Total pages : 508
• ISBN : 9789814496438
• File Size : 53,9 Mb
• Total Download : 750
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Download Soft Computing in Systems and Control Technology in PDF, Epub, and Kindle

Soft computing is a branch of computing which, unlike hard computing, can deal with uncertain, imprecise and inexact data. The three constituents of soft computing are fuzzy-logic-based computing, neurocomputing, and genetic algorithms. Fuzzy logic contributes the capability of approximate reasoning, neurocomputing offers function approximation and learning capabilities, and genetic algorithms provide a methodology for systematic random search and optimization. These three capabilities are combined in a complementary and synergetic fashion. This book presents a cohesive set of contributions dealing with important issues and applications of soft computing in systems and control technology. The contributions include state-of-the-art material, mathematical developments, fresh results, and how-to-do issues. Among the problems studied via neural, fuzzy, neurofuzzy and genetic methodologies are: data fusion, reinforcement learning, approximation properties, multichannel imaging, signal processing, system optimization, gaming, and several forms of control. The book can serve as a reference for researchers and practitioners in the field. Readers can find in it a large amount of useful and timely information, and thus save considerable effort in searching for other scattered literature. Contents:Neural Networks in System Identification and Control:Supervised Learning in Multilayer Perceptrons: The Back-Propagation Algorithm (S G Tzafestas & Y Anthopoulos)Identification of Two-Dimensional State Space Discrete Systems Using Neural Networks (D Wang & A Zilouchian)Neural Networks for Control (R J Mitchell)Neuro-Based Adaptive Regulator (T Tsuji et al.)Local Model Networks and Self-Tuning Predictive Control (P J Gawthrop & E Ronco)Fuzzy and Neuro-Fuzzy Systems in Modeling, Control and Robot Path Planning:An On-Line Self Constructing Fuzzy Modeling Architecture Based on Neural and Fuzzy Concepts and Techniques (S G Tzafestas & K C Zikidis)Neuro-Fuzzy Model Based Control (D Matko et al.)Fuzzy and Neurofuzzy Approaches to Mobile Robot Path and Motion Planning Under Uncertainty (C S Tzafestas & S G Tzafestas)Genetic-Evolutionary Algorithms:A Tutorial Overview of Genetic Algorithms and Their Applications (S G Tzafestas et al.)Results from a Variety of Genetic Algorithm Applications Showing the Robustness of the Approach (W D Potter et al.)Evolutionary Algorithms in Computer-Aided Design of Integrated Circuits (R Drechsler et al.)Soft Computing Applications:Soft Data Fusion (C G Looney & Y Varol)Application of Neural Networks to Computer Gaming (N Baba)Coherent Neural Networks and Their Applications to Control and Signal Processing (A Hirose)Neural, Fuzzy and Evolutionary Reinforcement Learning Systems: An Application Case Study (D A Linkens & H O Nyongesa)Neural Networks in Industrial and Environmental Applications (G C Smith & C L Wrobel) Readership: Researchers and practitioners in systems and control engineering. Keywords:

• Author : Arindam Chaudhuri,Krupa Mandaviya,Pratixa Badelia,Soumya K Ghosh
• Publisher : Springer
• Release Date : 2016-12-23
• Total pages : 248
• ISBN : 9783319502526
• File Size : 39,9 Mb
• Total Download : 187
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Download Optical Character Recognition Systems for Different Languages with Soft Computing in PDF, Epub, and Kindle

The book offers a comprehensive survey of soft-computing models for optical character recognition systems. The various techniques, including fuzzy and rough sets, artificial neural networks and genetic algorithms, are tested using real texts written in different languages, such as English, French, German, Latin, Hindi and Gujrati, which have been extracted by publicly available datasets. The simulation studies, which are reported in details here, show that soft-computing based modeling of OCR systems performs consistently better than traditional models. Mainly intended as state-of-the-art survey for postgraduates and researchers in pattern recognition, optical character recognition and soft computing, this book will be useful for professionals in computer vision and image processing alike, dealing with different issues related to optical character recognition.

• Author : Behnam Azvine,Nader Azarmi,Detlef D. Nauck
• Publisher : Springer
• Release Date : 2000-07-26
• Total pages : 358
• ISBN : 3540678379
• File Size : 47,6 Mb
• Total Download : 325
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Download Intelligent Systems and Soft Computing in PDF, Epub, and Kindle

Artificial intelligence has, traditionally focused on solving human-centered problems like natural language processing or common-sense reasoning. On the other hand, for a while now soft computing has been applied successfully in areas like pattern recognition, clustering, or automatic control. The papers in this book explore the possibility of bringing these two areas together. This book is unique in the way it concentrates on building intelligent software systems by combining methods from diverse disciplines, such as fuzzy set theory, neuroscience, agent technology, knowledge discovery, and symbolic artificial intelligence. The first part of the book focuses on foundational aspects and future directions; the second part provides the reader with an overview of recently developed software tools for building flexible intelligent systems; the final section studies developed applications in various fields.

• Author : Bernadette Bouchon-Meunier,Ronald R Yager,Lotfi A Zadeh
• Publisher : World Scientific
• Release Date : 1995-09-15
• Total pages : 508
• ISBN : 9789814500081
• File Size : 50,5 Mb
• Total Download : 758
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Download Fuzzy Logic and Soft Computing in PDF, Epub, and Kindle

Soft computing is a new, emerging discipline rooted in a group of technologies that aim to exploit the tolerance for imprecision and uncertainty in achieving solutions to complex problems. The principal components of soft computing are fuzzy logic, neurocomputing, genetic algorithms and probabilistic reasoning. This volume is a collection of up-to-date articles giving a snapshot of the current state of the field. It covers the whole expanse, from theoretical foundations to applications. The contributors are among the world leaders in the field. Contents:Fuzzy Logic and Genetic AlgorithmsLearningFuzzy and Hybrid SystemsDecision and Aggregation TechniquesFuzzy Logic in DatabasesFoundations of Fuzzy LogicApplications of Fuzzy Sets Readership: Researchers and computer scientists. keywords:

• Author : Kirti Seth,Ashish Seth,Aprna Tripathi
• Publisher : CRC Press
• Release Date : 2020-10-28
• Total pages : 96
• ISBN : 9781000209167
• File Size : 41,5 Mb
• Total Download : 647
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Download Component-Based Systems in PDF, Epub, and Kindle

Businesses today are faced with a highly competitive market and fast-changing technologies. In order to meet demanding customers’ needs, they rely on high quality software. A new field of study, soft computing techniques, is needed to estimate the efforts invested in component-based software. Component-Based Systems: Estimating Efforts Using Soft Computing Techniques is an important resource that uses computer-based models for estimating efforts of software. It provides an overview of component-based software engineering, while addressing uncertainty involved in effort estimation and expert opinions. This book will also instruct the reader how to develop mathematical models. This book is an excellent source of information for students and researchers to learn soft computing models, their applications in software management, and will help software developers, managers, and those in the industry to apply soft computing techniques to estimate efforts.

• Author : Patricia Melin,Oscar Castillo
• Publisher : CRC Press
• Release Date : 2001-10-25
• Total pages : 262
• ISBN : 9781420024524
• File Size : 53,6 Mb
• Total Download : 942
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Download Modelling, Simulation and Control of Non-linear Dynamical Systems in PDF, Epub, and Kindle

These authors use soft computing techniques and fractal theory in this new approach to mathematical modeling, simulation and control of complexion-linear dynamical systems. First, a new fuzzy-fractal approach to automated mathematical modeling of non-linear dynamical systems is presented. It is illustrated with examples on the PROLOG programming la

• Author : Sankar K. Pal,Alfredo Petrosino,Lucia Maddalena
• Publisher : CRC Press
• Release Date : 2012-01-25
• Total pages : 344
• ISBN : 9781439856840
• File Size : 19,8 Mb
• Total Download : 552
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Download Handbook on Soft Computing for Video Surveillance in PDF, Epub, and Kindle

Information on integrating soft computing techniques into video surveillance is widely scattered among conference papers, journal articles, and books. Bringing this research together in one source, Handbook on Soft Computing for Video Surveillance illustrates the application of soft computing techniques to different tasks in video surveillance. Worldwide experts in the field present novel solutions to video surveillance problems and discuss future trends. After an introduction to video surveillance systems and soft computing tools, the book gives examples of neural network-based approaches for solving video surveillance tasks and describes summarization techniques for content identification. Covering a broad spectrum of video surveillance topics, the remaining chapters explain how soft computing techniques are used to detect moving objects, track objects, and classify and recognize target objects. The book also explores advanced surveillance systems under development. Incorporating both existing and new ideas, this handbook unifies the basic concepts, theories, algorithms, and applications of soft computing. It demonstrates why and how soft computing methodologies can be used in various video surveillance problems.

• Author : Kasthurirangan Gopalakrishnan,Siddhartha Kumar Khaitan,Soteris Kalogirou
• Publisher : Springer Science & Business Media
• Release Date : 2011-08-20
• Total pages : 315
• ISBN : 9783642221750
• File Size : 54,9 Mb
• Total Download : 167
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Download Soft Computing in Green and Renewable Energy Systems in PDF, Epub, and Kindle

Soft Computing in Green and Renewable Energy Systems provides a practical introduction to the application of soft computing techniques and hybrid intelligent systems for designing, modeling, characterizing, optimizing, forecasting, and performance prediction of green and renewable energy systems. Research is proceeding at jet speed on renewable energy (energy derived from natural resources such as sunlight, wind, tides, rain, geothermal heat, biomass, hydrogen, etc.) as policy makers, researchers, economists, and world agencies have joined forces in finding alternative sustainable energy solutions to current critical environmental, economic, and social issues. The innovative models, environmentally benign processes, data analytics, etc. employed in renewable energy systems are computationally-intensive, non-linear and complex as well as involve a high degree of uncertainty. Soft computing technologies, such as fuzzy sets and systems, neural science and systems, evolutionary algorithms and genetic programming, and machine learning, are ideal in handling the noise, imprecision, and uncertainty in the data, and yet achieve robust, low-cost solutions. As a result, intelligent and soft computing paradigms are finding increasing applications in the study of renewable energy systems. Researchers, practitioners, undergraduate and graduate students engaged in the study of renewable energy systems will find this book very useful.

• Author : S. G. Tzafestas
• Publisher : World Scientific
• Release Date : 1999
• Total pages : 516
• ISBN : 9810233817
• File Size : 36,7 Mb
• Total Download : 915
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Download Soft Computing in Systems and Control Technology in PDF, Epub, and Kindle

Soft computing is a branch of computing which, unlike hard computing, can deal with uncertain, imprecise and inexact data. The three constituents of soft computing are fuzzy-logic-based computing, neurocomputing, and genetic algorithms. Fuzzy logic contributes the capability of approximate reasoning, neurocomputing offers function approximation and learning capabilities, and genetic algorithms provide a methodology for systematic random search and optimization. These three capabilities are combined in a complementary and synergetic fashion.This book presents a cohesive set of contributions dealing with important issues and applications of soft computing in systems and control technology. The contributions include state-of-the-art material, mathematical developments, fresh results, and how-to-do issues. Among the problems studied via neural, fuzzy, neurofuzzy and genetic methodologies are: data fusion, reinforcement learning, approximation properties, multichannel imaging, signal processing, system optimization, gaming, and several forms of control.The book can serve as a reference for researchers and practitioners in the field. Readers can find in it a large amount of useful and timely information, and thus save considerable effort in searching for other scattered literature.

• Author : Marc Thuillard
• Publisher : World Scientific
• Release Date : 2001
• Total pages : 246
• ISBN : 9789810246099
• File Size : 20,9 Mb
• Total Download : 938
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Download Wavelets in Soft Computing in PDF, Epub, and Kindle

This book presents the state of integration of wavelet theory and multiresolution analysis into soft computing. It is the first book on hybrid methods combining wavelet analysis with fuzzy logic, neural networks or genetic algorithms. Much attention is given to new approaches (fuzzy-wavelet) that permit one to develop, using wavelet techniques, linguistically interpretable fuzzy systems from data. The book also introduces the reader to wavelet-based genetic algorithms and multiresolution search. A special place is given to methods that have been implemented in real world applications, particularly the different techniques combining fuzzy logic or neural networks with wavelet theory.

• Author : Patricia Melin,Oscar Castillo,Eduardo G. Ramírez,Witold Pedrycz
• Publisher : Springer Science & Business Media
• Release Date : 2007-06-05
• Total pages : 856
• ISBN : 9783540724315
• File Size : 49,9 Mb
• Total Download : 278
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Download Analysis and Design of Intelligent Systems Using Soft Computing Techniques in PDF, Epub, and Kindle

This book comprises a selection of papers on new methods for analysis and design of hybrid intelligent systems using soft computing techniques from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007.

• Author : Nilanjan Dey,Amira Ashour,Fuquian Shi,Valentina E. Balas
• Publisher : Academic Press
• Release Date : 2018-01-18
• Total pages : 292
• ISBN : 9780128131749
• File Size : 18,7 Mb
• Total Download : 461
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Download Soft Computing Based Medical Image Analysis in PDF, Epub, and Kindle

Soft Computing Based Medical Image Analysis presents the foremost techniques of soft computing in medical image analysis and processing. It includes image enhancement, segmentation, classification-based soft computing, and their application in diagnostic imaging, as well as an extensive background for the development of intelligent systems based on soft computing used in medical image analysis and processing. The book introduces the theory and concepts of digital image analysis and processing based on soft computing with real-world medical imaging applications. Comparative studies for soft computing based medical imaging techniques and traditional approaches in medicine are addressed, providing flexible and sophisticated application-oriented solutions. Covers numerous soft computing approaches, including fuzzy logic, neural networks, evolutionary computing, rough sets and Swarm intelligence Presents transverse research in soft computing formation from various engineering and industrial sectors in the medical domain Highlights challenges and the future scope for soft computing based medical analysis and processing techniques

• Author : Rafik A. Aliev,Janusz Kacprzyk,Witold Pedrycz,Mo Jamshidi,Mustafa Babanli,Fahreddin M. Sadikoglu
• Publisher : Springer Nature
• Release Date : 2021-01-04
• Total pages : 829
• ISBN : 9783030640583
• File Size : 9,6 Mb
• Total Download : 316
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Download 14th International Conference on Theory and Application of Fuzzy Systems and Soft Computing – ICAFS-2020 in PDF, Epub, and Kindle

This book presents the proceedings of the 14th International Conference on Applications of Fuzzy Systems, Soft Computing, and Artificial Intelligence Tools, ICAFS-2020, held in Budva, Montenegro, on August 27–28, 2020. It includes contributions from diverse areas of fuzzy systems, soft computing, AI tools such as uncertain computation, decision making under imperfect information, deep learning and others. The topics of the papers include theory and application of soft computing, neuro-fuzzy technology, intelligent control, deep learning–machine learning, fuzzy logic in data analytics, evolutionary computing, fuzzy logic and artificial intelligence in engineering, social sciences, business, economics, material sciences and others.