Soft Computing and Intelligent Systems Design

Download Soft Computing and Intelligent Systems Design PDF Online Free

Author :
Publisher : Addison Wesley Longman
ISBN 13 :
Total Pages : 592 pages
Book Rating : 4.3/5 (91 download)

DOWNLOAD NOW!


Book Synopsis Soft Computing and Intelligent Systems Design by : Fakhreddine O. Karray

Download or read book Soft Computing and Intelligent Systems Design written by Fakhreddine O. Karray and published by Addison Wesley Longman. This book was released on 2004 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Fundamentals of Soft Computing and Intelligent System

Download Fundamentals of Soft Computing and Intelligent System PDF Online Free

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

DOWNLOAD NOW!


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.

Soft Computing and Intelligent Systems

Download Soft Computing and Intelligent Systems PDF Online Free

Author :
Publisher : Elsevier
ISBN 13 : 008054133X
Total Pages : 663 pages
Book Rating : 4.0/5 (85 download)

DOWNLOAD NOW!


Book Synopsis Soft Computing and Intelligent Systems by : Madan M. Gupta

Download or read book Soft Computing and Intelligent Systems written by Madan M. Gupta and published by Elsevier. This book was released on 1999-10-28 with total page 663 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Analysis and Design of Intelligent Systems Using Soft Computing Techniques

Download Analysis and Design of Intelligent Systems Using Soft Computing Techniques PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 354072432X
Total Pages : 856 pages
Book Rating : 4.5/5 (47 download)

DOWNLOAD NOW!


Book Synopsis Analysis and Design of Intelligent Systems Using Soft Computing Techniques by : Patricia Melin

Download or read book Analysis and Design of Intelligent Systems Using Soft Computing Techniques written by Patricia Melin and published by Springer Science & Business Media. This book was released on 2007-09-20 with total page 856 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intelligent Control Systems Using Soft Computing Methodologies

Download Intelligent Control Systems Using Soft Computing Methodologies PDF Online Free

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

DOWNLOAD NOW!


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.

Intelligent Systems and Soft Computing

Download Intelligent Systems and Soft Computing PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 3540449175
Total Pages : 372 pages
Book Rating : 4.5/5 (44 download)

DOWNLOAD NOW!


Book Synopsis Intelligent Systems and Soft Computing by : Behnam Azvine

Download or read book Intelligent Systems and Soft Computing written by Behnam Azvine and published by Springer. This book was released on 2006-12-30 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Soft Computing

Download Soft Computing PDF Online Free

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

DOWNLOAD NOW!


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.

Soft Computing for Hybrid Intelligent Systems

Download Soft Computing for Hybrid Intelligent Systems PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 354070812X
Total Pages : 440 pages
Book Rating : 4.5/5 (47 download)

DOWNLOAD NOW!


Book Synopsis Soft Computing for Hybrid Intelligent Systems by : Oscar Castillo

Download or read book Soft Computing for Hybrid Intelligent Systems written by Oscar Castillo and published by Springer. This book was released on 2008-09-10 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Soft Computing and Intelligent Systems Design: Theory, Tools and Applications

Download Soft Computing and Intelligent Systems Design: Theory, Tools and Applications PDF Online Free

Author :
Publisher : Pearson Education India
ISBN 13 : 9788131723241
Total Pages : 588 pages
Book Rating : 4.7/5 (232 download)

DOWNLOAD NOW!


Book Synopsis Soft Computing and Intelligent Systems Design: Theory, Tools and Applications by : Karray

Download or read book Soft Computing and Intelligent Systems Design: Theory, Tools and Applications written by Karray and published by Pearson Education India. This book was released on with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Soft Computing in Systems and Control Technology

Download Soft Computing in Systems and Control Technology PDF Online Free

Author :
Publisher : World Scientific
ISBN 13 : 9789810233815
Total Pages : 516 pages
Book Rating : 4.2/5 (338 download)

DOWNLOAD NOW!


Book Synopsis Soft Computing in Systems and Control Technology by : S. G. Tzafestas

Download or read book Soft Computing in Systems and Control Technology written by S. G. Tzafestas and published by World Scientific. This book was released on 1999 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Fundamentals of the New Artificial Intelligence

Download Fundamentals of the New Artificial Intelligence PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 1846288398
Total Pages : 266 pages
Book Rating : 4.8/5 (462 download)

DOWNLOAD NOW!


Book Synopsis Fundamentals of the New Artificial Intelligence by : Toshinori Munakata

Download or read book Fundamentals of the New Artificial Intelligence written by Toshinori Munakata and published by Springer Science & Business Media. This book was released on 2008-01-01 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers the most essential and widely employed material in each area, particularly the material important for real-world applications. Our goal is not to cover every latest progress in the fields, nor to discuss every detail of various techniques that have been developed. New sections/subsections added in this edition are: Simulated Annealing (Section 3.7), Boltzmann Machines (Section 3.8) and Extended Fuzzy if-then Rules Tables (Sub-section 5.5.3). Also, numerous changes and typographical corrections have been made throughout the manuscript. The Preface to the first edition follows. General scope of the book Artificial intelligence (AI) as a field has undergone rapid growth in diversification and practicality. For the past few decades, the repertoire of AI techniques has evolved and expanded. Scores of newer fields have been added to the traditional symbolic AI. Symbolic AI covers areas such as knowledge-based systems, logical reasoning, symbolic machine learning, search techniques, and natural language processing. The newer fields include neural networks, genetic algorithms or evolutionary computing, fuzzy systems, rough set theory, and chaotic systems.

Applications of Soft Computing

Download Applications of Soft Computing PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3540880798
Total Pages : 287 pages
Book Rating : 4.5/5 (48 download)

DOWNLOAD NOW!


Book Synopsis Applications of Soft Computing by : Erel Avineri

Download or read book Applications of Soft Computing written by Erel Avineri and published by Springer Science & Business Media. This book was released on 2008-12-28 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algorithms, fuzzy logic, Bayesian networks, and their hybrids. It admits approximate reasoning, imprecision, uncertainty and partial truth in order to mimic the remarkable human capability of making decisions in real-life, ambiguous environments. Soft Computing has therefore become popular in developing systems that encapsulate human expertise. 'Applications of Soft Computing: Updating the State of Art' contains a collection of papers that were presented at the 12th On-line World Conference on Soft Computing in Industrial Applications, held in October 2007. 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 design, intelligent control, optimization, signal processing, pattern recognition, computer graphics, production, as well as civil engineering and applications to traffic and transportation systems. The book is aimed at researchers and practitioners who are engaged in developing and applying intelligent systems principles to solving real-world problems. It is also suitable as wider reading for science and engineering postgraduate students.

Soft Computing and Industry

Download Soft Computing and Industry PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 1447101235
Total Pages : 862 pages
Book Rating : 4.4/5 (471 download)

DOWNLOAD NOW!


Book Synopsis Soft Computing and Industry by : Rajkumar Roy

Download or read book Soft Computing and Industry written by Rajkumar Roy and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 862 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing embraces various methodologies for the development of intelligent systems that have been successfully applied to a large number of real-world problems. Soft Computing in Industry contains a collection of papers that were presented at the 6th On-line World Conference on Soft Computing in Industrial Applications that was held in September 2001. It provides a comprehensive overview of recent theoretical developments in soft computing as well as of successful industrial applications. It is divided into seven parts covering material on: keynote papers on various subjects ranging from computing with autopoietic systems to the effects of the Internet on education; intelligent control; classification, clustering and optimization; image and signal processing; agents, multimedia and Internet; theoretical advances; prediction, design and diagnosis. The book is aimed at researchers and professional engineers who develop and apply intelligent systems in computer engineering.

Fundamentals of Computational Intelligence

Download Fundamentals of Computational Intelligence PDF Online Free

Author :
Publisher : John Wiley & Sons
ISBN 13 : 111921436X
Total Pages : 378 pages
Book Rating : 4.1/5 (192 download)

DOWNLOAD NOW!


Book Synopsis Fundamentals of Computational Intelligence by : James M. Keller

Download or read book Fundamentals of Computational Intelligence written by James M. Keller and published by John Wiley & Sons. This book was released on 2016-07-13 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real-world problems. While other books in the three fields that comprise computational intelligence are written by specialists in one discipline, this book is co-written by current former Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems, a former Editor-in-Chief of IEEE Transactions on Fuzzy Systems, and the founding Editor-in-Chief of IEEE Transactions on Evolutionary Computation. The coverage across the three topics is both uniform and consistent in style and notation. Discusses single-layer and multilayer neural networks, radial-basis function networks, and recurrent neural networks Covers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, fuzzy measures and fuzzy integrals Examines evolutionary optimization, evolutionary learning and problem solving, and collective intelligence Includes end-of-chapter practice problems that will help readers apply methods and techniques to real-world problems Fundamentals of Computational intelligence is written for advanced undergraduates, graduate students, and practitioners in electrical and computer engineering, computer science, and other engineering disciplines.

Computational Intelligence

Download Computational Intelligence PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 9783540232193
Total Pages : 242 pages
Book Rating : 4.2/5 (321 download)

DOWNLOAD NOW!


Book Synopsis Computational Intelligence by : Mircea Gh. Negoita

Download or read book Computational Intelligence written by Mircea Gh. Negoita and published by Springer Science & Business Media. This book was released on 2005-02-17 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hybrid Intelligent Systems has become an important research topic in computer science and a key application field in science and engineering. This book offers a gentle introduction to the engineering aspects of hybrid intelligent systems, also emphasizing the interrelation with the main intelligent technologies such as genetic algorithms – evolutionary computation, neural networks, fuzzy systems, evolvable hardware, DNA computing, artificial immune systems. A unitary whole of theory and application, the book provides readers with the fundamentals, background information, and practical methods for building a hybrid intelligent system. It treats a panoply of applications, including many in industry, educational systems, forecasting, financial engineering, and bioinformatics. This volume is useful to newcomers in the field because it quickly familiarizes them with engineering elements of developing hybrid intelligent systems and a wide range of real applications, including non-industrial applications. Researchers, developers and technically oriented managers can use the book for developing both new hybrid intelligent systems approaches and new applications requiring the hybridization of the typical tools and concepts to computational intelligence.

Soft Computing in Artificial Intelligence

Download Soft Computing in Artificial Intelligence PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 3319055151
Total Pages : 157 pages
Book Rating : 4.3/5 (19 download)

DOWNLOAD NOW!


Book Synopsis Soft Computing in Artificial Intelligence by : Young Im Cho

Download or read book Soft Computing in Artificial Intelligence written by Young Im Cho and published by Springer. This book was released on 2014-07-08 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the concept of artificial intelligence based on knowledge-based algorithms. Given the current hardware and software technologies and artificial intelligence theories, we can think of how efficient to provide a solution, how best to implement a model and how successful to achieve it. This edition provides readers with the most recent progress and novel solutions in artificial intelligence. This book aims at presenting the research results and solutions of applications in relevance with artificial intelligence technologies. We propose to researchers and practitioners some methods to advance the intelligent systems and apply artificial intelligence to specific or general purpose. This book consists of 13 contributions that feature fuzzy (r, s)-minimal pre- and β-open sets, handling big coocurrence matrices, Xie-Beni-type fuzzy cluster validation, fuzzy c-regression models, combination of genetic algorithm and ant colony optimization, building expert system, fuzzy logic and neural network, individual role adaptation for team sports, application of polynomial neural networks, recursive neuro-fuzzy algorithm for water management, application of interactive genetic algorithm, and Artificial Neural Network (ANN) model. This edition is published in original, peer reviewed contributions covering from initial design to final prototypes and verification.

Soft Computing and Its Applications

Download Soft Computing and Its Applications PDF Online Free

Author :
Publisher : World Scientific
ISBN 13 : 9789810247003
Total Pages : 470 pages
Book Rating : 4.2/5 (47 download)

DOWNLOAD NOW!


Book Synopsis Soft Computing and Its Applications by : Rafik Aziz ogly Aliev

Download or read book Soft Computing and Its Applications written by Rafik Aziz ogly Aliev and published by World Scientific. This book was released on 2001 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: The concept of soft computing is still in its initial stages of crystallization. Presently available books on soft computing are merely collections of chapters or articles about different aspects of the field. This book is the first to provide a systematic account of the major concepts and methodologies of soft computing, presenting a unified framework that makes the subject more accessible to students and practitioners. Particularly worthy of note is the inclusion of a wealth of information about neuro-fuzzy, neuro-genetic, fuzzy-genetic and neuro-fuzzy-genetic systems, with many illuminating applications and examples.