Hybrid Architectures for Intelligent Systems
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A01=Abraham Kandel
A01=Gideon Langholz
advanced hybrid system applications
Approximate Reasoning
Author_Abraham Kandel
Author_Gideon Langholz
Category=U
Certainty Factor
computational intelligence
Decision Tables
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Expert System
Expert System Shell
FMS Schedule
FMS Schedule Problem
fuzzy inference systems
Fuzzy Logic
Hidden Nodes
Hidden Units
Hopfield Model
hybrid architectures
IAC Model
Inference Engine
Intelligent Hybrid Systems
intelligent robot control
Knowledge Acquisition
Knowledge Based Expert Systems
Knowledge Rules
machine learning models
medical diagnosis
Membership Function
modular neural networks
Neural Network Approach
Neural Networks
NN
NN Model
parallel processing
pattern classification
robotics automation
Rule Based Expert Systems
Squashing Function
Vice Versa
Product details
- ISBN 9780849342295
- Weight: 1020g
- Dimensions: 178 x 254mm
- Publication Date: 21 Feb 1992
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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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.
Abraham Kandel and Gideon Langholz
