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Intelligent Hybrid Systems Book

Intelligent Hybrid Systems
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Intelligent Hybrid Systems, 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 effec, Intelligent Hybrid Systems
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  • Intelligent Hybrid Systems
  • Written by author Suran Goonatilake, Sukhdev Khebbal
  • Published by John Wiley & Sons, 1995/01/30
  • 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 effec
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Book Categories

Authors

Foreword
Acknowledgements
Contributors
1 Intelligent Hybrid Systems: Issues, Classifications and Future Directions 1
2 Fuzzy Controller Synthesis with Neural Network Process Models 23
3 Replacing the Pattern Matcher of an Expert System with a Neural Network 47
4 Genetic Algorithms and Fuzzy Logic for Adaptive Process Control 63
5 Neural Network Weight Selection Using Genetic Algorithms 85
6 A Unified Approach For Engineering Design 107
7 A Hybrid System for Data Mining 121
8 Using Fuzzy Pre-processing with Neural Networks for Chemical Process Diagnostic Problems 143
9 A Multi-Agent Approach for the Integration of Neural Networks and Expert Systems 153
10 Integrating Symbol Processing Systems and Connectionist Networks 177
11 Reasoning with Rules and Variables in Neural Networks 209
12 The NeurOagent: A Neural Multi-agent Approach for Modelling, Distributed Processing and Learning 221
13 Genetic Programming of Neural Networks: Theory and Practice 245
14 Tools and Environments for Hybrid Systems 275
Glossary 309
Intelligent Systems Resource Guide 313
Index 321


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