A new framework of neural network for nonlinear system modeling

Y. Mizukami, T. Satoh, Kanya Tanaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, a new modeling framework of neural network for nonlinear system is proposed. We point out problems in modeling systems with traditional neural networks, that is, difficulty for analyzing internal representation, no reproducibility in system modeling (approximation), and no assumption about system property. Based on these considerations, we suggest three main improvements. The first is design of a nonlinear output function. The second is a deterministic scheme for weight initialization. The third is an updating rule for weight parameter. Simulation results show beneficial characteristics of our proposed method.

Original languageEnglish
Title of host publicationICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing
Subtitle of host publicationComputational Intelligence for the E-Age
EditorsJagath C. Rajapakse, Xin Yao, Lipo Wang, Kunihiko Fukushima, Soo-Young Lee
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages65-69
Number of pages5
ISBN (Electronic)9810475241, 9789810475246
DOIs
Publication statusPublished - 1 Jan 2002
Event9th International Conference on Neural Information Processing, ICONIP 2002 - Singapore, Singapore
Duration: 18 Nov 200222 Nov 2002

Publication series

NameICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age
Volume1

Conference

Conference9th International Conference on Neural Information Processing, ICONIP 2002
CountrySingapore
CitySingapore
Period18/11/0222/11/02

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Mizukami, Y., Satoh, T., & Tanaka, K. (2002). A new framework of neural network for nonlinear system modeling. In J. C. Rajapakse, X. Yao, L. Wang, K. Fukushima, & S-Y. Lee (Eds.), ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age (pp. 65-69). [1202132] (ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICONIP.2002.1202132