Soft Computing And Intelligent Systems Design

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Author: Fakhreddine O. Karray
Publisher: Addison-Wesley
ISBN: 9780321116178
Size: 58.21 MB
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Soft Computing And Intelligent Systems Design by Fakhreddine O. Karray


Original Title: Soft Computing And Intelligent Systems Design

If you are studying soft computing, intelligent machines or intelligent control then this book will give you the theory you need together with a vast array of examples and practical material, providing you with a thorough grounding in this exciting field. Practising professionals will find the introductory material, application oriented techniques and case studies especially helpful. Theory meets practice through numerous examples and solved real world problems. Comprehensive case studies demonstrate a vade range of applications across science and engineering. Extensive coverage of intelligent systems design including intelligent control and time series prediction.

Soft Computing And Intelligent Systems

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Author: Madan M. Gupta
Publisher: Electrical and Electronic Engi
ISBN:
Size: 58.21 MB
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Soft Computing And Intelligent Systems by Madan M. Gupta


Original Title: Soft Computing And Intelligent Systems

Outline of a computational theory of perceptions based on computing with words / L.A. Zadeh -- Introduction to soft computing and intelligent control systems / N.K. Sinha and M.M. Gupta -- Computational issues in intelligent control / X.D. Koutsoukos and P.J. Antsaklis -- Neural networks -- a guided tour / S. Haykin -- On generating variable structure organization using a genetic algorithm / A.K. Zaidi and A.H. Levis -- Evolutionary algorithms and neural networks / R.G.S. Asthana -- Neural networks and fuzzy systems / P. Musilek and M.M. Gupta -- Fuzzy neural networks / P. Musilek and M.M. Gupta -- A cursory look at parallel and distributed architectures and biologically inspired computing / S.K. Basu -- Developments in learning control systems / J.X. Xu ... [et al.] -- Techniques for genetic adaptive control / W.K. Lennon and K.M. Passino -- Cooperative behavior of intelligent agents : theory and practice / L. Vlacic, A. Engwirda, and M. Kajitani -- Expert systems in process diagnosis ...

Soft Computing And Intelligent Systems

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Author: Madan M. Gupta
Publisher: Elsevier
ISBN: 9780080541334
Size: 64.35 MB
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Soft Computing And Intelligent Systems by Madan M. Gupta


Original Title: Soft Computing And Intelligent Systems

The field of soft computing is emerging from the cutting edge research over the last ten years devoted to fuzzy engineering and genetic algorithms. The subject is being called soft computing and computational intelligence. With acceptance of the research fundamentals in these important areas, the field is expanding into direct applications through engineering and systems science. This book cover the fundamentals of this emerging filed, as well as direct applications and case studies. There is a need for practicing engineers, computer scientists, and system scientists to directly apply "fuzzy" engineering into a wide array of devices and systems.

Intelligent Systems And Soft Computing

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Author: Behnam Azvine
Publisher: Springer
ISBN: 3540449175
Size: 65.91 MB
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Intelligent Systems And Soft Computing by Behnam Azvine


Original Title: Intelligent Systems And Soft Computing

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.

Marketing Intelligent Systems Using Soft Computing

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Author: Jorge Casillas
Publisher: Springer Science & Business Media
ISBN: 3642156053
Size: 36.92 MB
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Marketing Intelligent Systems Using Soft Computing by Jorge Casillas


Original Title: Marketing Intelligent Systems Using Soft Computing

Dr. Jay Liebowitz Orkand Endowed Chair in Management and Technology University of Maryland University College Graduate School of Management & Technology 3501 University Boulevard East Adelphi, Maryland 20783-8030 USA [email protected] edu When I first heard the general topic of this book, Marketing Intelligent Systems or what I’ll refer to as Marketing Intelligence, it sounded quite intriguing. Certainly, the marketing field is laden with numeric and symbolic data, ripe for various types of mining—data, text, multimedia, and web mining. It’s an open laboratory for applying numerous forms of intelligentsia—neural networks, data mining, expert systems, intelligent agents, genetic algorithms, support vector machines, hidden Markov models, fuzzy logic, hybrid intelligent systems, and other techniques. I always felt that the marketing and finance domains are wonderful application areas for intelligent systems, and this book demonstrates the synergy between marketing and intelligent systems, especially soft computing. Interactive advertising is a complementary field to marketing where intelligent systems can play a role. I had the pleasure of working on a summer faculty f- lowship with R/GA in New York City—they have been ranked as the top inter- tive advertising agency worldwide. I quickly learned that interactive advertising also takes advantage of data visualization and intelligent systems technologies to help inform the Chief Marketing Officer of various companies. Having improved ways to present information for strategic decision making through use of these technologies is a great benefit.

Soft Computing For Hybrid Intelligent Systems

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Author: Oscar Castillo
Publisher: Springer Science & Business Media
ISBN: 3540708111
Size: 28.27 MB
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Soft Computing For Hybrid Intelligent Systems by Oscar Castillo


Original Title: Soft Computing For Hybrid Intelligent Systems

We describe in this book, new methods and applications of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary al- rithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of intelligent control, which are basically papers that use hybrid systems to solve particular problems of control. The second part contains papers with the main theme of pattern recognition, which are basically papers using soft computing techniques for achieving pattern recognition in different applications. The third part contains papers with the themes of intelligent agents and social systems, which are papers that apply the ideas of agents and social behavior to solve real-world problems. The fourth part contains papers that deal with the hardware implementation of intelligent systems for solving particular problems. The fifth part contains papers that deal with modeling, simulation and optimization for real-world applications.

Analysis And Design Of Intelligent Systems Using Soft Computing Techniques

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Author: Patricia Melin
Publisher: Springer Science & Business Media
ISBN: 3540724311
Size: 75.46 MB
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Analysis And Design Of Intelligent Systems Using Soft Computing Techniques by Patricia Melin


Original Title: Analysis And Design Of Intelligent Systems Using Soft Computing Techniques

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.

Hybrid Intelligent Systems For Pattern Recognition Using Soft Computing

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Author: Patricia Melin
Publisher: Springer Science & Business Media
ISBN: 9783540241218
Size: 78.94 MB
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Hybrid Intelligent Systems For Pattern Recognition Using Soft Computing by Patricia Melin


Original Title: Hybrid Intelligent Systems For Pattern Recognition Using Soft Computing

This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of pattern recognition systems, to achieve the ultimate goal of pattern recognition. This book also shows results of the application of hybrid intelligent systems to real-world problems of face, fingerprint, and voice recognition. This monograph is intended to be a major reference for scientists and engineers applying new computational and mathematical tools to intelligent pattern recognition and can be also used as a textbook for graduate courses in soft computing, intelligent pattern recognition, computer vision, or applied artificial intelligence.

International Proceedings On Advances In Soft Computing Intelligent Systems And Applications

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Author: M. Sreenivasa Reddy
Publisher: Springer
ISBN: 9811052727
Size: 66.87 MB
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International Proceedings On Advances In Soft Computing Intelligent Systems And Applications by M. Sreenivasa Reddy


Original Title: International Proceedings On Advances In Soft Computing Intelligent Systems And Applications

The book focuses on the state-of-the-art technologies pertaining to advances in soft computing, intelligent system and applications. The Proceedings of ASISA 2016 presents novel and original work in soft computing, intelligent system and applications by the experts and budding researchers. These are the cutting edge technologies that have immense application in various fields. The papers discuss many real world complex problems that cannot be easily handled with traditional mathematical methods. The exact solution of the problems at hand can be achieved with soft computing techniques. Soft computing represents a collection of computational techniques inheriting inspiration from evolutionary algorithms, nature inspired algorithms, bio-inspired algorithms, neural networks and fuzzy logic.

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