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

School of Aeronautics

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

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.

Original language	English
Pages (from-to)	304-307
Number of pages	4
Journal	Yingyong Lixue Xuebao/Chinese Journal of Applied Mechanics
Volume	23
Issue number	2
State	Published - Jun 2006

Keywords

Genetic algorithms
Neural network
Penstock
Real-coded

Cite this

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

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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

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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

Abstract

Keywords

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