On the conjugate gradients (CG) training algorithm of fuzzy neural networks (FNNs) via its equivalent fully connected neural networks (FFNNs)

Jing Wang; C. L.Philip Chen; Chi-Hsu Wang

doi:10.1109/ICSMC.2012.6378110

On the conjugate gradients (CG) training algorithm of fuzzy neural networks (FNNs) via its equivalent fully connected neural networks (FFNNs)

Jing Wang^*, C. L.Philip Chen, Chi-Hsu Wang

^*Corresponding author for this work

Department of Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

In this paper, Fuzzy Neural Network (FNN) is transformed into an equivalent fully connected three layer neural network, or FFNN. Based on the FFNN, conjugate gradients (CG) training algorithm is derived to tune both the premise and consequent part of FNN, and apparently increase the speed of convergence. Illustrative examples are presented to check the validity of the proposed theory and algorithms. Simulation achieves satisfactory results. Developing CG training algorithm for FNN via its equivalent FFNN has its emerging values in all engineering applications using FNN, such as intelligent adaptive control, pattern recognition, and signal processing..., etc.

Original language	English
Title of host publication	Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
Pages	2446-2451
Number of pages	6
DOIs	https://doi.org/10.1109/ICSMC.2012.6378110
State	Published - 1 Dec 2012
Event	2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012 - Seoul, Korea, Republic of Duration: 14 Oct 2012 → 17 Oct 2012

Publication series

Name	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)	1062-922X

Conference

Conference	2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
Country	Korea, Republic of
City	Seoul
Period	14/10/12 → 17/10/12

Keywords

Fuzzy Logic
Fuzzy Neural Networks
Gradient Descent
Neural Networks
conjugate gradients

Access to Document

10.1109/ICSMC.2012.6378110

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Wang, J., Chen, C. L. P., & Wang, C-H. (2012). On the conjugate gradients (CG) training algorithm of fuzzy neural networks (FNNs) via its equivalent fully connected neural networks (FFNNs). In Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012 (pp. 2446-2451). [6378110] (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). https://doi.org/10.1109/ICSMC.2012.6378110

Wang, Jing ; Chen, C. L.Philip ; Wang, Chi-Hsu. / On the conjugate gradients (CG) training algorithm of fuzzy neural networks (FNNs) via its equivalent fully connected neural networks (FFNNs). Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012. 2012. pp. 2446-2451 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

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Wang, J, Chen, CLP & Wang, C-H 2012, On the conjugate gradients (CG) training algorithm of fuzzy neural networks (FNNs) via its equivalent fully connected neural networks (FFNNs). in Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012., 6378110, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 2446-2451, 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012, Seoul, Korea, Republic of, 14/10/12. https://doi.org/10.1109/ICSMC.2012.6378110

On the conjugate gradients (CG) training algorithm of fuzzy neural networks (FNNs) via its equivalent fully connected neural networks (FFNNs). / Wang, Jing; Chen, C. L.Philip; Wang, Chi-Hsu.

Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012. 2012. p. 2446-2451 6378110 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Wang J, Chen CLP, Wang C-H. On the conjugate gradients (CG) training algorithm of fuzzy neural networks (FNNs) via its equivalent fully connected neural networks (FFNNs). In Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012. 2012. p. 2446-2451. 6378110. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). https://doi.org/10.1109/ICSMC.2012.6378110