Two Improved Study Algorithms for Neural Network Structure

Wang Kecheng; Wang Kejun; Yu Datai

doi:10.13374/j.issn1001-053x.1997.05.016

Volume 19 Issue 5

Sep. 2021

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Article Navigation > Chinese Journal of Engineering > 1997 > 19(5): 490-494

Wang Kecheng, Wang Kejun, Yu Datai. Two Improved Study Algorithms for Neural Network Structure[J]. Chinese Journal of Engineering, 1997, 19(5): 490-494. doi: 10.13374/j.issn1001-053x.1997.05.016

Citation:

Wang Kecheng, Wang Kejun, Yu Datai. Two Improved Study Algorithms for Neural Network Structure[J]. Chinese Journal of Engineering, 1997, 19(5): 490-494. doi: 10.13374/j.issn1001-053x.1997.05.016

Wang Kecheng, Wang Kejun, Yu Datai. Two Improved Study Algorithms for Neural Network Structure[J]. Chinese Journal of Engineering, 1997, 19(5): 490-494. doi: 10.13374/j.issn1001-053x.1997.05.016

Citation:

Wang Kecheng, Wang Kejun, Yu Datai. Two Improved Study Algorithms for Neural Network Structure[J]. Chinese Journal of Engineering, 1997, 19(5): 490-494. doi: 10.13374/j.issn1001-053x.1997.05.016

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Two Improved Study Algorithms for Neural Network Structure

doi: 10.13374/j.issn1001-053x.1997.05.016

1. Information Engineering School, UST Beijing, Beijing 100083, China;
2. Department of Autormatic Control, Harbin Engineering University, Harbin 150001, China

Received Date: 1996-10-08
Available Online: 2021-09-10

Abstract

Abstract

Based on the two Neural Network Study algorithim; Sensitivity Calculation and Self Constructing, two improved algorithm are proposed, which are proved to be better than the original algorithms by the experiments.
- neuraln network,
- structure study algorithm,
- sensitivity calculation