Stability analysis of penstock under external pressure based on GA-NN algorithms

Wensheng Dong; Chenghua Dang; Zichen Deng; Dongchang Liu

Stability analysis of penstock under external pressure based on GA-NN algorithms

Wensheng Dong, Chenghua Dang, Zichen Deng, Dongchang Liu

航空学院

科研成果: 期刊稿件 › 文章 › 同行评审

5 引用（Scopus）

摘要

The stability analysis of the penstock under external pressure is an important and complex task. The model of GA-NN is proposed, the strong function approaching ability of neural network and inherit virtues are demonstrated to break the limitation of local extreme in the traditional Neural Network. The experimental result indicates the efficiency, robustness and accuracy of the proposed algorithm.

源语言	英语
页（从-至）	304-307
页数	4
期刊	Yingyong Lixue Xuebao/Chinese Journal of Applied Mechanics
卷	23
期	2
出版状态	已出版 - 6月 2006

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title = "Stability analysis of penstock under external pressure based on GA-NN algorithms",

abstract = "The stability analysis of the penstock under external pressure is an important and complex task. The model of GA-NN is proposed, the strong function approaching ability of neural network and inherit virtues are demonstrated to break the limitation of local extreme in the traditional Neural Network. The experimental result indicates the efficiency, robustness and accuracy of the proposed algorithm.",

keywords = "Genetic algorithms, Neural network, Penstock, Real-coded",

author = "Wensheng Dong and Chenghua Dang and Zichen Deng and Dongchang Liu",

year = "2006",

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language = "英语",

volume = "23",

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journal = "Yingyong Lixue Xuebao/Chinese Journal of Applied Mechanics",

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T1 - Stability analysis of penstock under external pressure based on GA-NN algorithms

AU - Dong, Wensheng

AU - Dang, Chenghua

AU - Deng, Zichen

AU - Liu, Dongchang

PY - 2006/6

Y1 - 2006/6

N2 - The stability analysis of the penstock under external pressure is an important and complex task. The model of GA-NN is proposed, the strong function approaching ability of neural network and inherit virtues are demonstrated to break the limitation of local extreme in the traditional Neural Network. The experimental result indicates the efficiency, robustness and accuracy of the proposed algorithm.

AB - The stability analysis of the penstock under external pressure is an important and complex task. The model of GA-NN is proposed, the strong function approaching ability of neural network and inherit virtues are demonstrated to break the limitation of local extreme in the traditional Neural Network. The experimental result indicates the efficiency, robustness and accuracy of the proposed algorithm.

KW - Genetic algorithms

KW - Neural network

KW - Penstock

KW - Real-coded

UR - http://www.scopus.com/inward/record.url?scp=33746828180&partnerID=8YFLogxK

M3 - 文章

AN - SCOPUS:33746828180

SN - 1000-4939

VL - 23

SP - 304

EP - 307

JO - Yingyong Lixue Xuebao/Chinese Journal of Applied Mechanics

JF - Yingyong Lixue Xuebao/Chinese Journal of Applied Mechanics

IS - 2

ER -

Stability analysis of penstock under external pressure based on GA-NN algorithms

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