Fundamental Of Soft Computing

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Soft Computing

Author : D. K. Pratihar
Publisher : Alpha Science International, Limited
ISBN 13 : 9781783322053
Total Pages : 296 pages
Book Rating : 4.3/5 (22 download)

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Book Synopsis Soft Computing by : D. K. Pratihar

Download or read book Soft Computing written by D. K. Pratihar and published by Alpha Science International, Limited. This book was released on 2015-06-30 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft Computing starts with an introduction to soft computing, a family consists of many members, namely genetic algorithms (GAs), fuzzy logic (FL), neural networks (NNs), and others. To realize the need for a non-traditional optimization tool like GA, one chapter is devoted to explain the principle of traditional optimization. The working cycle of a GA is explained in detail. The mechanisms of some specialized GAs are then discussed with some appropriate examples. The working principles of some other non-traditional optimization tools like simulated annealing (SA) and particle swarm optimization (PSO) are discussed in detail. Multi-objective optimization has been dealt in a separate chapter, where the working principles of a few approaches are explained. Fuzzy sets are introduced before explaining the principle of fuzzy reasoning and clustering. The fundamentals of NNs are presented, prior to the discussion on various forms of NN. The combined techniques, such as GA-FL, GA-NN, NN-FL and GA-FL-NN are then explained, and the last chapter deals with the applications of soft computing in two different fields of research. It has been written to fulfill the requirements of a large number of readers belonging to various disciplines of engineering and general sciences. The algorithms are discussed with a number of solved numerical examples. It will be very much helpful to the students, scientists and practicing engineers.

Fundamentals of Soft Computing and Intelligent System

Author : Padam Gulwani
Publisher :
ISBN 13 : 9789381141731
Total Pages : 0 pages
Book Rating : 4.1/5 (417 download)

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Book Synopsis Fundamentals of Soft Computing and Intelligent System by : Padam Gulwani

Download or read book Fundamentals of Soft Computing and Intelligent System written by Padam Gulwani and published by . This book was released on 2012-01-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides the basic concepts and engineering applications of soft computing. It includes the basics of soft computing, the use, applications, advantages and disadvantages of neural networks, the basic concepts of supervised learning and the advantages of unsupervised learning and genetic algorithms and fuzzy logic.

PRINCIPLES OF SOFT COMPUTING (With CD )

Author : S.N.Sivanandam & S.N.Deepa
Publisher : John Wiley & Sons
ISBN 13 : 9788126510757
Total Pages : 768 pages
Book Rating : 4.5/5 (17 download)

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Book Synopsis PRINCIPLES OF SOFT COMPUTING (With CD ) by : S.N.Sivanandam & S.N.Deepa

Download or read book PRINCIPLES OF SOFT COMPUTING (With CD ) written by S.N.Sivanandam & S.N.Deepa and published by John Wiley & Sons. This book was released on 2007-06 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: Market_Desc: · B. Tech (UG) students of CSE, IT, ECE· College Libraries· Research Scholars· Operational Research· Management Sector Special Features: Dr. S. N. Sivanandam has published 12 books· He has delivered around 150 special lectures of different specialization in Summer/Winter school and also in various Engineering colleges· He has guided and co guided 30 PhD research works and at present 9 PhD research scholars are working under him· The total number of technical publications in International/National Journals/Conferences is around 700· He has also received Certificate of Merit 2005-2006 for his paper from The Institution of Engineers (India)· He has chaired 7 International Conferences and 30 National Conferences. He is a member of various professional bodies like IE (India), ISTE, CSI, ACS and SSI. He is a technical advisor for various reputed industries and engineering institutions· His research areas include Modeling and Simulation, Neural Networks, Fuzzy Systems and Genetic Algorithm, Pattern Recognition, Multidimensional system analysis, Linear and Nonlinear control system, Signal and Image processing, Control System, Power system, Numerical methods, Parallel Computing, Data Mining and Database Security About The Book: This book is meant for a wide range of readers who wish to learn the basic concepts of soft computing. It can also be helpful for programmers, researchers and management experts who use soft computing techniques. The basic concepts of soft computing are dealt in detail with the relevant information and knowledge available for understanding the computing process. The various neural network concepts are explained with examples, highlighting the difference between various architectures. Fuzzy logic techniques have been clearly dealt with suitable examples. Genetic algorithm operators and the various classifications have been discussed in lucid manner, so that a beginner can understand the concepts with minimal effort.

Soft Computing

Author : Dilip Kumar Pratihar
Publisher : Alpha Science International, Limited
ISBN 13 :
Total Pages : 258 pages
Book Rating : 4.:/5 (321 download)

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Book Synopsis Soft Computing by : Dilip Kumar Pratihar

Download or read book Soft Computing written by Dilip Kumar Pratihar and published by Alpha Science International, Limited. This book was released on 2008 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offers an introduction to soft computing, a family consisting of many members, namely Genetic Algorithms (GAs), Fuzzy Logic (FL), Neural Networks (NNs) and others. In this book, the working cycle of a GA is explained in detail. It discusses the mechanisms of some specialized Gas with examples.

Soft Computing

Author : Devendra K. Chaturvedi
Publisher : Springer Science & Business Media
ISBN 13 : 3540774807
Total Pages : 620 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Soft Computing by : Devendra K. Chaturvedi

Download or read book Soft Computing written by Devendra K. Chaturvedi and published by Springer Science & Business Media. This book was released on 2008-08-20 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an introduction to some new fields in soft computing with its principal components of fuzzy logic, ANN and EA. The approach in this book is to provide an understanding of the soft computing field and to work through soft computing using examples. It also aims to integrate pseudo-code operational summaries and Matlab codes, to present computer simulation, to include real world applications and to highlight the distinctive work of human consciousness in machine.

FUNDAMENTAL OF SOFT COMPUTING

Author : Kuntal Barua/Prof Prasun Chakrabarti
Publisher : BPB Publications
ISBN 13 : 9387284778
Total Pages : 256 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis FUNDAMENTAL OF SOFT COMPUTING by : Kuntal Barua/Prof Prasun Chakrabarti

Download or read book FUNDAMENTAL OF SOFT COMPUTING written by Kuntal Barua/Prof Prasun Chakrabarti and published by BPB Publications. This book was released on 2018-06-01 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Description:This book is going to be the first well organized book for soft computing, including all the three major constituents or aspect of soft computing (neural networks, fuzzy logic and evolutionary computation), and hopefully will be proved beneficial for both kind of people; those striving to gain knowledge and those striving to score grades. The book is comprised of each and every topic of soft computing is a vast field of artificial intelligence with very much exploration to real time problems, especially regarding the quench of decision making and automation in the leading AI industries.Key Features:Comprehensive coverage of various aspects of soft computing concepts.Artificial intelligence, Neuro computing, Fuzzy logic Evolutionary computation.Strictly in accordance for the syllabus coverd under UG, PG, and Doctoral courses. (B.E. / B. Tech./ MCA/ M. Tech/ Research Scholars)Simple language, crystal clear approach, straight forward comprehensible presentation.The concepts are duly supported by several examples.Important question papers for every chapters.Table of contents:Chapter 1: Introduction to Neuro-computingChapter 2: Training the Neural networksChapter 3: The unsupervised networksChapter 4: The fuzzy logicChapter 5: The Evolutionary computationChapter 6: Few Auxiliary algorithms

PRINCIPLES OF SOFT COMPUTING, 2ND ED (With CD )

Author : S. N. Sivanandam
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4./5 ( download)

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Book Synopsis PRINCIPLES OF SOFT COMPUTING, 2ND ED (With CD ) by : S. N. Sivanandam

Download or read book PRINCIPLES OF SOFT COMPUTING, 2ND ED (With CD ) written by S. N. Sivanandam and published by John Wiley & Sons. This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Market_Desc: · B. Tech (UG) students ofü CSEü ITü ECE· College Libraries· Research Scholars· Operational Research· Management Sector Special Features: · Detailed explanation of soft computing concepts.· Study on various artificial neural network architecture.· Description on fuzzy logic techniques.· Introduction to genetic algorithm and its types for solving optimization problems.· Numerous artificial neural network, fuzzy logic and genetic algorithm problems.· Implementation of soft computing techniques using C and C++.· Simulated solutions for soft computing concepts using MATLAB package.· Application case studies on soft computing techniques on emerging fields.· Various hybrid soft computing techniques.New in this edition· Certain topics have been added such as:ü Fundamentals of Genetic Algorithmsü Genetic Modelingü Integration of Neural Networks, Fuzzy Logic, and Genetic Algorithms· A new chapter Hybrid Soft Computing Techniques has been added bringing the advantages of combining individual techniques.· 5 Sample Question Papers have been added at the end of the book. Accompanying CD contains · Power point presentations· Source Codes for Soft Computing Techniques in C· MATLAB Source Code Programs About The Book: In this book the basic concepts of soft computing are dealt in detail with the relevant information and knowledge available for understanding the computing process. The various neural network concepts are explained with examples, highlighting the difference between various architectures. Fuzzy logic techniques have been clearly dealt with suitable examples. Genetic algorithm operators and the various classifications have been discussed in lucid manner, so that a beginner can understand the concepts with minimal effort.The book can be used as a handbook as well as a guide for students of all engineering disciplines, soft computing research scholars, management sector, operational research area, computer applications and for various professionals who work in this area.

Soft Computing

Author :
Publisher :
ISBN 13 : 9788184873382
Total Pages : 273 pages
Book Rating : 4.8/5 (733 download)

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Book Synopsis Soft Computing by :

Download or read book Soft Computing written by and published by . This book was released on 2014 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fundamentals of Soft Computing

Author : Prof. Prasun Chakrabarti Kuntal Barua
Publisher : BPB Publications
ISBN 13 : 9789386551566
Total Pages : 258 pages
Book Rating : 4.5/5 (515 download)

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Book Synopsis Fundamentals of Soft Computing by : Prof. Prasun Chakrabarti Kuntal Barua

Download or read book Fundamentals of Soft Computing written by Prof. Prasun Chakrabarti Kuntal Barua and published by BPB Publications. This book was released on 2017-04-03 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Control Systems Using Soft Computing Methodologies

Author : Ali Zilouchian
Publisher : CRC Press
ISBN 13 : 1420058142
Total Pages : 504 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Intelligent Control Systems Using Soft Computing Methodologies by : Ali Zilouchian

Download or read book Intelligent Control Systems Using Soft Computing Methodologies written by Ali Zilouchian and published by CRC Press. This book was released on 2001-03-27 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Soft Computing

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 178 pages
Book Rating : 4.:/5 (661 download)

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Book Synopsis Soft Computing by : Fouad Sabry

Download or read book Soft Computing written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-07-03 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Soft Computing The term "soft computing" refers to a collection of computer programming techniques, such as neural networks, fuzzy logic, and evolutionary algorithms.These algorithms can handle imprecision, uncertainty, partial truth, and approximation without causing any problems.It is in contrast to hard computing, which refers to the use of algorithms to find solutions to problems that are both right and optimal. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Soft computing Chapter 2: Fuzzy logic Chapter 3: Evolutionary algorithm Chapter 4: Machine learning Chapter 5: Computational intelligence Chapter 6: Fuzzy concept Chapter 7: Quantum neural network Chapter 8: Fuzzy mathematics Chapter 9: Evolving intelligent system Chapter 10: Adaptive neuro fuzzy inference system (II) Answering the public top questions about soft computing. (III) Real world examples for the usage of soft computing in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of soft computing' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of soft computing.

An Introduction to Fuzzy Logic and Fuzzy Sets

Author : James J. Buckley
Publisher : Springer Science & Business Media
ISBN 13 : 3790817996
Total Pages : 287 pages
Book Rating : 4.7/5 (98 download)

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Book Synopsis An Introduction to Fuzzy Logic and Fuzzy Sets by : James J. Buckley

Download or read book An Introduction to Fuzzy Logic and Fuzzy Sets written by James J. Buckley and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an excellent starting point for any curriculum in fuzzy systems fields such as computer science, mathematics, business/economics and engineering. It covers the basics leading to: fuzzy clustering, fuzzy pattern recognition, fuzzy database, fuzzy image processing, soft computing, fuzzy applications in operations research, fuzzy decision making, fuzzy rule based systems, fuzzy systems modeling, fuzzy mathematics. It is not a book designed for researchers - it is where you really learn the "basics" needed for any of the above-mentioned applications. It includes many figures and problem sets at the end of sections.

Computing Fundamentals

Author : J. Stanley Warford
Publisher : Springer Science & Business Media
ISBN 13 : 3322916030
Total Pages : 615 pages
Book Rating : 4.3/5 (229 download)

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Book Synopsis Computing Fundamentals by : J. Stanley Warford

Download or read book Computing Fundamentals written by J. Stanley Warford and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book introduces the reader to computer programming, i.e. algorithms and data structures. It covers many new programming concepts that have emerged in recent years including object-oriented programming and design patterns. The book emphasizes the practical aspects of software construction without neglecting their solid theoretical foundation.

Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions

Author : Rafik Aziz Aliev
Publisher : Springer
ISBN 13 : 3642348955
Total Pages : 332 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions by : Rafik Aziz Aliev

Download or read book Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions written by Rafik Aziz Aliev and published by Springer. This book was released on 2013-01-12 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every day decision making and decision making in complex human-centric systems are characterized by imperfect decision-relevant information. Main drawback of the existing decision theories is namely incapability to deal with imperfect information and modeling vague preferences. Actually, a paradigm of non-numerical probabilities in decision making has a long history and arose also in Keynes’s analysis of uncertainty. There is a need for further generalization – a move to decision theories with perception-based imperfect information described in NL. The languages of new decision models for human-centric systems should be not languages based on binary logic but human-centric computational schemes able to operate on NL-described information. Development of new theories is now possible due to an increased computational power of information processing systems which allows for computations with imperfect information, particularly, imprecise and partially true information, which are much more complex than computations over numbers and probabilities. The monograph exposes the foundations of a new decision theory with imperfect decision-relevant information on environment and a decision maker’s behavior. This theory is based on the synthesis of the fuzzy sets theory with perception-based information and the probability theory. The book is self containing and represents in a systematic way the decision theory with imperfect information into the educational systems. The book will be helpful for teachers and students of universities and colleges, for managers and specialists from various fields of business and economics, production and social sphere.

Fuzzy Logic and Soft Computing

Author : Bernadette Bouchon-Meunier
Publisher : World Scientific
ISBN 13 : 9814500089
Total Pages : 508 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Fuzzy Logic and Soft Computing by : Bernadette Bouchon-Meunier

Download or read book Fuzzy Logic and Soft Computing written by Bernadette Bouchon-Meunier and published by World Scientific. This book was released on 1995-09-15 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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:

NEURAL NETWORKS, FUZZY LOGIC AND GENETIC ALGORITHM

Author : S. RAJASEKARAN
Publisher : PHI Learning Pvt. Ltd.
ISBN 13 : 8120321863
Total Pages : 459 pages
Book Rating : 4.1/5 (23 download)

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Book Synopsis NEURAL NETWORKS, FUZZY LOGIC AND GENETIC ALGORITHM by : S. RAJASEKARAN

Download or read book NEURAL NETWORKS, FUZZY LOGIC AND GENETIC ALGORITHM written by S. RAJASEKARAN and published by PHI Learning Pvt. Ltd.. This book was released on 2003-01-01 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive introduction to a consortium of technologies underlying soft computing, an evolving branch of computational intelligence. The constituent technologies discussed comprise neural networks, fuzzy logic, genetic algorithms, and a number of hybrid systems which include classes such as neuro-fuzzy, fuzzy-genetic, and neuro-genetic systems. The hybridization of the technologies is demonstrated on architectures such as Fuzzy-Back-propagation Networks (NN-FL), Simplified Fuzzy ARTMAP (NN-FL), and Fuzzy Associative Memories. The book also gives an exhaustive discussion of FL-GA hybridization. Every architecture has been discussed in detail through illustrative examples and applications. The algorithms have been presented in pseudo-code with a step-by-step illustration of the same in problems. The applications, demonstrative of the potential of the architectures, have been chosen from diverse disciplines of science and engineering. This book with a wealth of information that is clearly presented and illustrated by many examples and applications is designed for use as a text for courses in soft computing at both the senior undergraduate and first-year post-graduate engineering levels. It should also be of interest to researchers and technologists desirous of applying soft computing technologies to their respective fields of work.

Soft Computing Approach for Mathematical Modeling of Engineering Problems

Author : Ali Ahmadian
Publisher : CRC Press
ISBN 13 : 1000432467
Total Pages : 160 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Soft Computing Approach for Mathematical Modeling of Engineering Problems by : Ali Ahmadian

Download or read book Soft Computing Approach for Mathematical Modeling of Engineering Problems written by Ali Ahmadian and published by CRC Press. This book was released on 2021-09-02 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes different mathematical modeling and soft computing techniques used to solve practical engineering problems. It gives an overview of the current state of soft computing techniques and describes the advantages and disadvantages of soft computing compared to traditional hard computing techniques. Through examples and case studies, the editors demonstrate and describe how problems with inherent uncertainty can be addressed and eventually solved through the aid of numerical models and methods. The chapters address several applications and examples in bioengineering science, drug delivery, solving inventory issues, Industry 4.0, augmented reality and weather forecasting. Other examples include solving fuzzy-shortest-path problems by introducing a new distance and ranking functions. Because, in practice, problems arise with uncertain data and most of them cannot be solved exactly and easily, the main objective is to develop models that deliver solutions with the aid of numerical methods. This is the reason behind investigating soft numerical computing in dynamic systems. Having this in mind, the authors and editors have considered error of approximation and have discussed several common types of errors and their propagations. Moreover, they have explained the numerical methods, along with convergence and consistence properties and characteristics, as the main objectives behind this book involve considering, discussing and proving related theorems within the setting of soft computing. This book examines dynamic models, and how time is fundamental to the structure of the model and data as well as the understanding of how a process unfolds • Discusses mathematical modeling with soft computing and the implementations of uncertain mathematical models • Examines how uncertain dynamic systems models include uncertain state, uncertain state space and uncertain state’s transition functions • Assists readers to become familiar with many soft numerical methods to simulate the solution function’s behavior This book is intended for system specialists who are interested in dynamic systems that operate at different time scales. The book can be used by engineering students, researchers and professionals in control and finite element fields as well as all engineering, applied mathematics, economics and computer science interested in dynamic and uncertain systems. Ali Ahmadian is a Senior Lecturer at the Institute of IR 4.0, The National University of Malaysia. Soheil Salahshour is an associate professor at Bahcesehir University.