Fuzzy Logic with Engineering Applications, Timothy J. Ross, (Ed.); McGraw Hill, New York, 1995, pp 592, ISBN 0-07-053917-0.
Ludmila KunchevaPublished in: Neurocomputing (2001)
Keyphrases
- mcgraw hill
- fuzzy logic
- machine learning
- soft computing
- control system
- expert systems
- neural network
- decision making
- fuzzy sets
- membership functions
- neural networks and genetic algorithms
- intelligent control
- fuzzy set theory
- back propagation
- fuzzy reasoning
- fuzzy inference system
- fuzzy rules
- fuzzy membership functions
- computational intelligence
- evolutionary computation
- rule base
- artificial intelligence
- genetic algorithm
- fuzzy inference
- rough sets
- stock exchange
- case study
- databases
- fuzzy control
- non stationary
- real time
- computer vision
- image processing
- multi agent systems
- reinforcement learning