Microprocessor implementation of fuzzy systems and neural networks

Proceedings of the International Joint Conference on Neural Networks

Volumn 1, Issue , 2001, Pages 234-239

  Binfet, J ^a   Wilamowski, B M ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; BOOLEAN FUNCTIONS; COMPUTER SIMULATION; FUZZY CONTROL; MATHEMATICAL MODELS; MEMBERSHIP FUNCTIONS; PROGRAM COMPILERS; PROM; RANDOM ACCESS STORAGE;

DEFUZZIFICATION; EXTENDED ERASABLE PROGRAMMABLE READ ONLY MEMORY; NEURAL CONTROLLERS;

MULTILAYER NEURAL NETWORKS;

EID: 0034849119     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Neuro-fuzzy systems and its applications
2. Do fuzzy controllers have advantages over neural controllers in microprocessor implementation
3. Neuro-fuzzy architecture for CMOS implementation
4. Multilayer feedforward networks are universal approximators
5. On the approximate realization of continuous mappings by neural networks
6. Fuzzy sets
7. Derivation of fuzzy control rules from human operator's control action
8. Neural networks and fuzzy systems