An Improved Back-Propagation Algorithm for Fuzzy Modeling

Abstract:

Article Preview

Fuzzy modeling is discussed in many literatures and there are numerous algorithms are proposed. Back-propagation algorithm is an efficient algorithm for fuzzy modeling and many papers proposed the usage of such method. But there exists potential risk of dead zone, abrupt inference surface and decreasing sensitivity for normal back-propagation algorithm in fuzzy modeling. This paper analysis the potential problems of normal algorithm and suggest a reformative back-propagation algorithm for fuzzy modeling. A complete algorithm is presented in the paper and some simulate result is discussed

Info:

Periodical:

Edited by:

Zhixiang Hou

Pages:

198-202

DOI:

10.4028/www.scientific.net/AMM.48-49.198

Citation:

Z. N. Miao and H. J. Zheng, "An Improved Back-Propagation Algorithm for Fuzzy Modeling", Applied Mechanics and Materials, Vols. 48-49, pp. 198-202, 2011

Online since:

February 2011

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.