An enhanced neural network learning using a self-tuning fuzzy neuron controller

Article type: Research Article

Authors: Wu, Peitsang | Fang, Shu-Cherng | Nuttle, Henry L.W.

Affiliations: Department of Industrial Engineering and Management, I-Shou University, Kaohsiung County, Taiwan, ROC. Tel.: +886 7 6577711 (5520); E-mail: [email protected] | Department of Industrial Engineering, North Carolina State University, Raleigh, NC 27695-7906, USA. E-mail: {fang,nuttle}@eos.ncsu.edu

Note: [] Corresponding author

Abstract: The performance of the "fuzzy-controlled curved search" method for back propagation neural network learning depends heavily upon the membership functions used in the fuzzy controller. Manually tuning the membership functions becomes a tedious job. In this paper, a fuzzy neuron controller with self-tuning capability is introduced to adjust the related membership functions in a self-adaptive manner. Computational results are included to illustrate the potential of this enhanced learning method.

Keywords: neural network learning, curved search algorithm, fuzzy neuron control

Journal: Journal of Intelligent & Fuzzy Systems, vol. 14, no. 2, pp. 109-118, 2003