There is now a growing realisation in the intelligent systems community that many complex problems require hybrid solutions. Increasingly, hybrid systems combining genetic algorithms, fuzzy logic, neural networks and expert systems are proving their effectiveness in a wide variety of real-world problems. This timely book brings together leading researchers from the United States, Europe and Asia who are pioneering the theory and application of Intelligent Hybrid Systems. The book provides a definition of hybrid systems, summarises the current state of the art, and presents contributions that detail innovative methods for integrating different intelligent techniques. Application examples are drawn from domains including industrial control, financial and business modelling, and cognitive simulation. The book is also intended to equip researchers, application developers and managers with key references and resource material for the successful development of hybrid systems.
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Book Description
Editorial Reviews
From the Publisher
Internationally renowned experts came together to produce this book, which will clarify and define the emerging and significant area of hybridizing intelligent systems. Each chapter covers the integration of two techniques, such as expert systems and neural networks. This integration is better known in the AI community as hybridizing intelligent systems. Each hybridization process is explained in detail, including the rationale for choosing the intelligent systems. Each article within this work will provide an overview of the technologies involved and their application to real-world problems.
From the Back Cover
There is now a growing realisation in the intelligent systems community that many complex problems require hybrid solutions. Increasingly, hybrid systems combining genetic algorithms, fuzzy logic, neural networks and expert systems are proving their effectiveness in a wide variety of real-world problems. This timely book brings together leading researchers from the United States, Europe and Asia who are pioneering the theory and application of Intelligent Hybrid Systems. The book provides a definition of hybrid systems, summarises the current state of the art, and presents contributions that detail innovative methods for integrating different intelligent techniques. Application examples are drawn from domains including industrial control, financial and business modelling, and cognitive simulation. The book is also intended to equip researchers, application developers and managers with key references and resource material for the successful development of hybrid systems.
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2 of 4 people found the following review helpful:
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Iassy Politechnic Magazine, Romania,
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This review is from: Intelligent Hybrid Systems (Paperback)
The book is an excellent text for researchers and students which covers all essential aspects of Intelligent hybrid systems. Congratulation to authors of articles and for editors.
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Inside This Book
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First Sentence:
Humans are hybrid information processing machines Our actions are governed by a combination of genetic information and information acquired through learning Information in our genes hold successful survival methods that have been tried and tested over millions of years of evolution. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
input pointer cell, neural network process model, column flotation unit, inductive learning component, polymorphic hybrids, intelligent hybrid systems, different intelligent techniques, optimisation plan, intercommunicating hybrids, tooltalk service, feedforward sigmoidal, error membership functions, reasoning episode, fuzzy membership sets, database mining techniques, numerical optimisation technique, cellular code, operational modelling, program symbols, visualisation component, database processor, target database, pattern validation, modulation coefficient, recurrent link Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Academic Press, San Diego, International Conference, Steps Toward Principled Integration Honavar, Contextual Excitation Zone, Morgan Kaufmann, Necessary Excitation Zone, John Wiley, Sons Ltd, Generic Concepts, Object Management Group, International Joint Conference, Excitation Threshold, Knowledge Discovery, Excitation Level, San Mateo, Generic Knowledge Base, Microsoft Excel, Negative Small, Ann Arbor, Evangelos Simoudis, Parallel Computing, University of Michigan Press, Brain Livezey New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Humans are hybrid information processing machines Our actions are governed by a combination of genetic information and information acquired through learning Information in our genes hold successful survival methods that have been tried and tested over millions of years of evolution. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
input pointer cell, neural network process model, column flotation unit, inductive learning component, polymorphic hybrids, intelligent hybrid systems, different intelligent techniques, optimisation plan, intercommunicating hybrids, tooltalk service, feedforward sigmoidal, error membership functions, reasoning episode, fuzzy membership sets, database mining techniques, numerical optimisation technique, cellular code, operational modelling, program symbols, visualisation component, database processor, target database, pattern validation, modulation coefficient, recurrent link Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Academic Press, San Diego, International Conference, Steps Toward Principled Integration Honavar, Contextual Excitation Zone, Morgan Kaufmann, Necessary Excitation Zone, John Wiley, Sons Ltd, Generic Concepts, Object Management Group, International Joint Conference, Excitation Threshold, Knowledge Discovery, Excitation Level, San Mateo, Generic Knowledge Base, Microsoft Excel, Negative Small, Ann Arbor, Evangelos Simoudis, Parallel Computing, University of Michigan Press, Brain Livezey New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 85
books:
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30
books
cite this book:
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- Artificial Intelligence and Neural Networks: Steps Toward Principled Integration (Neural Networks: Foundations to Applications) by Vasant Honavar on 8 pages
- Pattern Recognition by Leonard Uhr on 4 pages
- Introduction To Expert Systems (3rd Edition) by Peter Jackson on 4 pages
- Computers and Thought by Edward A. Feigenbaum on 4 pages
- Genetic Algorithms [VHS] by KOZA on page 102, page 270, and Back Matter
See all 85 books this book cites
- Hybrid Neural Systems (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) by Stefan Wermter on page 9, page 12, and Back Matter
- Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) by Zili Zhang in Back Matter (1), Back Matter (2), and Back Matter (3)
- Genetic Algorithms in Molecular Modeling (Principles of QSAR and Drug Design) by James Devillers on page 28, and page 314
- Intelligent Technologies for Information Analysis by Ning Zhong on page 358, and page 359
- Applied Decision Support with Soft Computing (Studies in Fuzziness and Soft Computing) (v. 124) by Xinghuo Yu on page 125, and page 147
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