Intelligent Systems and Soft Computing

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.

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Author: Behnam Azvine

Publisher: Springer

ISBN: 9783540449171

Category: Computers

Page: 358

View: 619

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.

Intelligent Systems and Soft Computing

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.

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Author: Behnam Azvine

Publisher: Springer

ISBN: 3540678379

Category: Computers

Page: 358

View: 205

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.

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.

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Author: Patricia Melin

Publisher: Springer Science & Business Media

ISBN: 9783540724315

Category: Computers

Page: 855

View: 534

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.

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 ...

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Author: Fakhreddine Karray

Publisher: Pearson Education

ISBN: 0321116178

Category: Computers

Page: 560

View: 956

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.

Intelligent Systems and Soft Computing for Nuclear Science and Industry

and first order logic, constraint satisfaction from artificial intelligence, fuzzy subsets operations, possibility distribution ... computational complexity, algorithms, software, language and other important issues in computer science.

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Author: D Ruan

Publisher: World Scientific

ISBN: 9789814547611

Category:

Page: 420

View: 373

Following FLINS '94, the 1st International workshop on fuzzy logic and intelligent technologies in nuclear science, FLINS '96 aimed to introduce the principles of intelligent systems and soft computing, such as fuzzy logic, neural networks, genetic algorithms (and any combination of these three), knowledge-based expert systems and complex problem-solving techniques, in nuclear science and industry and in related fields. This volume presents carefully selected papers drawn from more than 20 countries. It covers theoretical aspects of intelligent systems and soft computing, together with their applications in nuclear science and industry. Contents:Fuzzy Algorithmic and Knowledge-Based Decision Support in Nuclear Engineering(H-J Zimmermann)Problem-Solving with Multiple Interdependent Criteria: Better Solutions to Complex Problems (C Carlsson & R Fullér)Functional Modelling for Integration of Human–Software–Hardware in Complex Physical Systems (M Modarres)Applying the Transferable Belief Model to Diagnostic Problems (P Smets)Application of Fuzzy Decision Making to Countermeasure Strategies After a Nuclear Accident (X Liu & D Ruan)A Fuzzy Control Algorithm for a Mobile Robot to Move Pass Obstacles (B-S Moon & J Lee)Experiments of Fuzzy Logic Control on a Nuclear Research Reactor (Z Liu & D Ruan)Intelligent Engineering and Technology for Nuclear Power Plant Operation (P P Wang & X L Gu)Improved Method for Incipient Multiple Fault Diagnosis with Application to Nuclear Power Plant (H-Y Chung et al)A Fuzzy Controller for NPPs (G H Schildt)Expert Environment for the Development of Nuclear Power Plants Failure Diagnosis Systems (P N Guido et al)Integrating Information in a Real-Time Data Visualization System on Nuclear Power Plant (E G Galdoz et al)and other papers Readership: Scientists and researchers in artificial intelligence, neural networks, fuzzy logic, robotics, software engineering, nuclear engineering, industrial chemistry, nuclear physics, mathematical physics, and applied mathematics. keywords:

Soft Computing and Intelligent Systems

In Soft Computing and Intelligent Systems, the editors invited and edited contributions from 44 world-renowned researchers to complete the 25 chapters of this book.

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Author: Madan M. Gupta

Publisher: Academic Press

ISBN: UOM:39015048519014

Category: Computers

Page: 639

View: 270

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 Based Modeling in Intelligent Systems

This volume contains Soft Computing methods and applications in modeling, optimisation and prediction. The book includes soft computing implementations of intelligent systems models.

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Author: Valentina Emilia Balas

Publisher: Springer Science & Business Media

ISBN: 9783642004476

Category: Mathematics

Page: 205

View: 647

The book “Soft Computing Based Modeling in Intelligent Systems”contains the - tended works originally presented at the IEEE International Workshop SOFA 2005 and additional papers. SOFA, an acronym for SOFt computing and Applications, is an international wo- shop intended to advance the theory and applications of intelligent systems and soft computing. Lotfi Zadeh, the inventor of fuzzy logic, has suggested the term “Soft Computing.” He created the Berkeley Initiative of Soft Computing (BISC) to connect researchers working in these new areas of AI. Professor Zadeh participated actively in our wo- shop. Soft Computing techniques are tolerant to imprecision, uncertainty and partial truth. Due to the large variety and complexity of the domain, the constituting methods of Soft Computing are not competing for a comprehensive ultimate solution. Instead they are complementing each other, for dedicated solutions adapted to each specific pr- lem. Hundreds of concrete applications are already available in many domains. Model based approaches offer a very challenging way to integrate a priori knowledge into procedures. Due to their flexibility, robustness, and easy interpretability, the soft c- puting applications will continue to have an exceptional role in our technologies. The applications of Soft Computing techniques in emerging research areas show its mat- ity and usefulness. The IEEE International Workshop SOFA 2005 held Szeged-Hungary and Arad- Romania in 2005 has led to the publication of these two edited volumes. This volume contains Soft Computing methods and applications in modeling, optimisation and prediction.

Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing

An Evolutionary Approach for Neural Networks and Fuzzy Systems Patricia Melin, Oscar Castillo ... for intelligent pattern recognition using soft computing techniques including neural networks , fuzzy logic , and genetic algorithms .

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Author: Patricia Melin

Publisher: Springer Science & Business Media

ISBN: 3540241213

Category: Computers

Page: 272

View: 536

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.

Soft Computing for Hybrid Intelligent Systems

We describe in this book, new methods and applications of hybrid intelligent systems using soft computing techniques.

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Author: Oscar Castillo

Publisher: Springer Science & Business Media

ISBN: 9783540708117

Category: Computers

Page: 448

View: 167

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

This book cover the fundamentals of this emerging filed, as well as direct applications and case studies.

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Author: Madan M. Gupta

Publisher: Elsevier

ISBN: 008054133X

Category: Computers

Page: 639

View: 460

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.