Research graph
References from Implicit rule-based fuzzy-neural networks using the identification algorithm of GA hybrid scheme based on information granulation. Local targets link to admitted publications; unresolved targets remain external evidence.
Fuzzy neural networks: a survey
10.1016/0165-0114(94)90297-6 · 1994 · External reference
On the principles of fuzzy neural networks
10.1016/0165-0114(94)90279-8 · 1994 · External reference
Fuzzy sets
10.1016/s0019-9958(65)90241-x · 1965 · External reference
Outline of a new approach to the analysis of complex systems and decision processes
10.1109/tsmc.1973.5408575 · 1973 · External reference
Unresolved reference
1996 · External reference
Unresolved reference
1992 · External reference
The design of optimal fuzzy-neural networks structure by means of GA and an aggregate weighted performance index
2000 · External reference
Advanced polynomial neural networks architecture with new adaptive nodes
2001 · External reference
Unresolved reference
1989 · External reference
Unresolved reference
1992 · External reference
Unresolved reference
External reference
Identification of fuzzy systems by means of an auto-tuning algorithm and its application to nonlinear systems
10.1016/s0165-0114(98)00174-2 · 2000 · External reference
A study on the self-organizing fuzzy polynomial neural networks
2001 · External reference
Unresolved reference
1976 · External reference
Unresolved reference
External reference
An identification algorithm in fuzzy relational system
10.1016/0165-0114(84)90015-0 · 1984 · External reference
A simply identified Sugeno-type fuzzy model via double clustering
10.1016/s0020-0255(97)10083-4 · 1998 · External reference
A new approach to fuzzy-neural modeling
1997 · External reference
Identification of fuzzy models with the aid of evolutionary data granulation
2001 · External reference
Hybrid identification of fuzzy rule-based models
10.1002/int.1004 · 2002 · External reference
