An efficient method of fuzzy rules generation

Some method are proposed f o r m rula acquisition and J%ZTY system parameters tuning baed on j k y neural networks. The feasibility of the proposed methoak is tested with an experiment of automatic train operation simulation. Thk experiment is also used to compare the Ieaming and control of-inference system with those of standard BP network and basic-system. A summrrry is made of the characteristics of the method. The final result indicates that the method of-rules generation and j k z y system tuning are very d a t i v e .Lu Jun, Hua Keqiang, Auto-generation of fuzzy control rule bases. Proc. of the 1997 IEEE Internat Conf. on Intelligent Wu Yan, Shi Hongbao, A learning method of guaranteeing the completeness of membership functions and consistence of fuzzy sets,

show abstract

Topology optimization of fuzzy systems for response integration in ensemble neural networks: The case of fingerprint recognition

López

Melín

2008

NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society

View full text Add to dashboard Cite

An efficient method of fuzzy rules generation

Cited by 4 publications

References 5 publications

Structural simplification of FMLP

Structural simplification of FMLP

Fuzzy rules acquisition and parameters evolution based on fuzzy neural networks

Topology optimization of fuzzy systems for response integration in ensemble neural networks: The case of fingerprint recognition

Contact Info

Product

Resources

About