Hybrid Architectures for Intelligent Systems

Pirmais vāks
CRC Press, 1992. gada 21. febr. - 448 lappuses
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Hybrid architecture for intelligent systems is a new field of artificial intelligence concerned with the development of the next generation of intelligent systems. This volume is the first book to delineate current research interests in hybrid architectures for intelligent systems.
The book is divided into two parts. The first part is devoted to the theory, methodologies, and algorithms of intelligent hybrid systems. The second part examines current applications of intelligent hybrid systems in areas such as data analysis, pattern classification and recognition, intelligent robot control, medical diagnosis, architecture, wastewater treatment, and flexible manufacturing systems.
Hybrid Architectures for Intelligent Systems is an important reference for computer scientists and electrical engineers involved with artificial intelligence, neural networks, parallel processing, robotics, and systems architecture.

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Saturs

NEURAL NETS AND FUZZY LOGIC
3
Basic Components of Modular Neural Networks
12
Modular Networks
19
NODE ERROR ASSIGNMENT IN EXPERT NETWORKS
29
PERFORMANCE ISSUES OF A HYBRID SYMBOLIC
46
LEARNING SYSTEM FOR GRAMMARS AND LEXICONS
49
INTEGRATION OF NEURAL NETWORK TECHNIQUES WITH
71
A PARALLEL DISTRIBUTED APPROACH FOR KNOWLEDGE
87
Data Classification and Pattern Recognition
286
Conclusions
297
GoalDirected Training of Neural Networks
306
Application of Robotic Skill Acquisition to Aircraft
315
Conclusions
324
71
326
Introduction
330
Chromatographic Analysis
337

A HYBRID ARCHITECTURE FOR FUZZY
135
MODELS AND GUIDELINES FOR INTEGRATING EXPERT
153
49
170
FUZZY HYBRID SYSTEMS C Posey A Kandel
174
HYBRID DISTRIBUTEDLOCAL CONNECTIONIST
199
HIERARCHICAL STRUCTURES IN HYBRID SYSTEMS
221
RULE COMBINING A NEURAL NETWORK APPROACH
255
A PROBLEM SOLVING SYSTEM FOR DATA ANALYSIS
279
135
341
REPRESENTING EXPERT KNOWLEDGE IN NEURAL
345
AN INTELLIGENT HYBRID SYSTEM FOR WASTEWATER
357
A HYBRID NEURAL AND SYMBOLIC PROCESSING
379
221
386
AUTHORS BIOGRAPHICAL INFORMATION
407
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