Text books 1 sn sivanandam and sn deepa principles of soft computing wiley from cbe 100 at amrita school of engineering. Jul 14, 2015 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. Pratihar hardcover, 296 pages, published 20 by alpha science intl ltd isbn. This site is like a library, use search box in the widget to get ebook that you want. A read is counted each time someone views a publication summary such as the title, abstract, and list of authors, clicks on a figure, or views or downloads the fulltext. Soft computing is based on some biological inspired methodologies such as genetics, evolution, ants behaviors, particles swarming, human nervous systems, etc. Numerous and frequentlyupdated resource results are available from this search. Pratihar has made significant contributions in design and development of intelligent autonomous systems in various fields of engineering science, namely robotics, manufacturing science, and others.
To introduce theory, concepts and algorithms of artificial neural networks and fuzzy logic. Intuitive consciousness wisdom is also one of the frontline areas in soft computing, which has to be always cultivated by meditation. Application of soft computing to architecture application of soft computing to decisionsupport systems application of soft computing to power systems neurofuzzy systems fuzzy logic control 11 future of soft computing adapted from l. To realize the need for a nontraditional optimization tool like ga, one chapter is. Modeling and simulations of robotic systems using soft. Soft computing starts with an introduction to soft computing, a family consists of many. He has published more than 270 papersbook chapters and 8 books. Oct 24, 2007 offers an introduction to soft computing, a family consisting of many members, namely genetic algorithms gas, fuzzy logic fl, neural networks nns and others. Roger jang, i d his article and book neurofuzzy and soft computing a computational approach to learning and machine intelligence on this subject. Everyday low prices and free delivery on eligible orders. Text books 1 sn sivanandam and sn deepa principles of soft. Klir, bo yuan, prentice hall, 1995 neural networks. Modeling and simulations of robotic systems using soft computing.
K, soft computing fundamentals and applications, narosa publications, 2014. Evolution of fuzzy controllers and applications, soft computing. Fundamentals and applications published by narosa publishing pratihar d. Pratihar narosa publishing house, new delhi, india, 2014 member, editorial board. Soft computing d k pratihar bok 9781783322053 bokus. Soft computing is dedicated to system solutions based on soft computing techniques. Presently, he is a professor at the iit kharagpur, india. Reliable information about the coronavirus covid19 is available from the world health organization current situation, international travel. To realize the need for a nontraditional optimization tool like ga, one chapter is devoted to explain the principle of traditional optimization.
I am working now as a professor hag scale of mechanical engineering department and pic, centre for excellence in robotics at iit kharagpur, india. Basak, expert system to predict forging load and axial stress, applied soft computing in press vundavilli pandu ranga, pratihar d. Oct 06, 2012 modeling and simulations of robotic systems using soft computing. Fundamentals and applications book online at best prices in india on. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems. His research interests include robotics, soft computing, and manufacturing science. Pratihar, narosa publishing house, newdelhi, 2014 fuzzy sets and fuzzy logic. Soft computing 1st edition fundamentals and applications by dilip k. For the new comer or beginners, refer to the basic book of soft computing.
Pratihar, soft computingbased approaches to predict energy comsumption and stability margin of sixlegged robots moving on gradient terrains, international journal of applied intelligence, doi. However, formatting rules can vary widely between applications and fields of interest or study. It discusses the mechanisms of some specialized gas with examples. The fundamentals of nns are presented, prior to the discussion on various forms of nn. Dilip kumar pratihar indian institute of technology. As a result, soft computing and intelligent systems soft computing and intelligent systems design.
My research areas include robotics, soft computing and manufacturing science. Soft computing and applications 3 00 3 target group. Fundamentals and applications 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. An attempt to incorporate intelligence, edited book on intelligent and autonomous systems, studies in computational intelligence, edited by d. In this book, the working cycle of a ga is explained in detail. Genetic algorithm to solve multiobjective optimization problem in gait planning of biped robot. Engineering mechanics, edited a book on intelligent and autonomous systems, co authored reference book son modeling and analysis of sixlegged robots, modeling and simulations of robotic systems using soft computing and modeling and analysis of laser metal forming processes by finite element and soft computing methods. He has jointly edited one book on intelligent autonomous systems, which has been published by the springerverlag, germany. Modeling and simulations of robotic systems using soft computing by rega rajendra, d. Professor of mechanical engineering, indian institute of technology kharagpur, kharagpur722.
Mechanical engineering indian institute of technology. Soft computing published by narosa publishing house, new. Soft computing fundamentals and applications, revised edition by d. Soft computing techniques for optical character recognition. Soft computing is an emerging approach to computing which parallel the remarkable ability of the human mind to reason and learn in an environment of uncertainty and imprecision. Robotics and intelligent systems rajendra, rega, pratihar, dilip kumar on. Evolution of fuzzy controllers and applications, studies in. Roger jang, i d his article and book neurofuzzy and soft computinga computational approach to learning and machine intelligence on this subject. Contents preface vii nomenclature xv greek symbols xvii abbreviations xix 1 introduction 1 1.
He has published more than 240 papers book chapters and 7 books. The combined techniques, such as gafl, gann, nnfl and gaflnn are then explained, and the last chapter deals with the applications of soft computing in two different fields of research. Email your librarian or administrator to recommend adding this book to your organisations collection. Buy soft computing book online at low prices in india. The combined techniques, such as gafl, gann, nnfl and gaflnn are explained in the last three chapters. Soft computing is an emerging approach to computing which parallel the remarkable ability of the human mind to reason and learn in a environment of uncertainty and imprecision. Pratihar narosa, 20 for lecture slides and other supporting materials, please visit the course web page at. This cited by count includes citations to the following articles in scholar. There has always been a quest to develop best ocr products which satisfy the users needs. But, the role model for soft computing is the human mind. Dec, 2017 soft computing differs from conventional hard computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty, partial truth, and approximation.
By finite element and soft computing methods by maji, kuntal, pratihar, d. The book is just meant for passing his examination at iit kharagpur. Some important soft computing techniques for optical character recognition ocr systems are presented in this chapter. Introduction, neural network, back propagation network, associative memory, adaptive resonance theory, fuzzy set theory, fuzzy systems, genetic algorithms, hybrid systems. Before entering in the vast and advanced world of soft. Offers an introduction to soft computing, a family consisting of many members, namely genetic algorithms gas, fuzzy logic fl, neural networks nns and others. Pratihar soft computing springer soft computing is dedicated to system solutions based on soft computing techniques. Dilip kumar pratihar indian institute of technology kharagpur. Buy modeling and analysis of laser metal forming processes. He has also made notable contributions in developing soft computing based screening and prediction tools for various diseases. This book starts with an introduction to soft computing, a family consisting of many members, namely genetic algorithms gas, fuzzy logic fl, neural networks nns and others.
Soft computing 9788184874952 by dilip k pratihar and a great selection of similar new, used and collectible books available now at great prices. Principles of soft computing download ebook pdf, epub. This book is an introduction to some new fields in soft computing with its principal components of fuzzy logic, ann and ea and it is hoped that it would be quite useful to study the fundamental concepts on these topics for the pursuit of allied research. Pratihar lap lambert academic publishing, germany, 2012 soft computing. 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. Part of the advances in intelligent and soft computing book series ainsc, volume 2.
Pratihar, gait planning of biped robots using soft computing. Buy soft computing book online at low prices in india soft. Soft computing differs from conventional hard computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty, partial truth, and approximation. To introduce of bioinspired computing and related techniques. Soft computing dilip kumar pratihar alpha science international ltd. Dilip kumar pratihar editorial board scientific research. Hassoun, fundamentals of artificial neural networks, a bradford book, 2003. This carefully edited book provides a comprehensive overview of the recent advances in the industrial applications of soft computing and covers a wide range of application areas, including optimisation, data analysis and data mining, computer graphics and vision, prediction and diagnosis, design, intelligent control, and traffic and. Click download or read online button to get principles of soft computing book now. For bargains from narosa book distributors, click here. This book starts with an introduction to soft computing, a family consisting of many members, namely. Soft computing course 42 hours, lecture notes, slides 398 in pdf format.
Neural networknn fuzzy logicfl genetic algorithmgathese methodologies form the core. Goldberg, genetic algorithms in search, optimization, and machine. Modeling and analysis of laser metal forming processes. Zadeh soft computing is likely to play an especially. The concepts are not explained clearly, and at some places.