Hybrid Architectures for Intelligent Systems

Front Cover
CRC Press, Feb 21, 1992 - Computers - 448 pages
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.
 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

NEURAL NETS AND FUZZY LOGIC
3
Basic Components of Modular Neural Networks
12
Modular Networks
19
NODE ERROR ASSIGNMENT IN EXPERT NETWORKS
29
Node Error Assignment
39
References
46
Modifying the Lexicon
54
Creating a Grammar
60
Extensions
215
HIERARCHICAL STRUCTURES IN HYBRID SYSTEMS
221
Current Explorations
235
Future Work
245
Chaplerl2 RULE COMBINING A NEURAL NETWORK APPROACH
255
Decision Making by Neural Computation
261
Implementation Issues
270
A PROBLEM SOLVING SYSTEM FOR DATA ANALYSIS
279

Relationship Between FEST and LSGL
66
Introduction
72
Combined Techniques
79
A PARALLEL DISTRIBUTED APPROACH FOR KNOWLEDGE
87
Evaluation
100
PERFORMANCE ISSUES OF A HYBRID SYMBOLIC
105
Analysis of Learning
113
Diagnosing Semiconductor Wafer Failures
122
Summary
128
A HYBRID ARCHITECTURE FOR FUZZY
135
Example of an Application
148
Models for ESNN Synergy
157
Application Review
163
Summary
170
Neural Networks
176
Conversion from Fuzzy Expert System to Neural Network
183
HYBRID DISTRIBUTEDLOCAL CONNECTIONIST
199
A Connectionist RuleBased System
205
Data Classification and Pattern Recognition
286
Conclusions
297
GoalDirected Training of Neural Networks
306
Application of Robotic Skill Acquisition to Aircraft
315
Conclusions
324
Introduction
330
Chromatographic Analysis
337
REPRESENTING EXPERT KNOWLEDGE IN NEURAL
345
AN INTELLIGENT HYBRID SYSTEM FOR WASTEWATER
357
Synthesis Phase of WATTS
364
Integration of Synthesis and CBR
372
A HYBRID NEURAL AND SYMBOLIC PROCESSING
379
Prototype Developed
389
Conclusions
395
AUTHORS BIOGRAPHICAL INFORMATION
407
INDEX
417
Copyright

Common terms and phrases

Bibliographic information