Application of ANN Trained with GA in Energy Characteristics of Hydraulic Turbine

Abstract:

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The learning algorithm of artificial neural network (ANN) trained with genetic algorithm (GA) are introduced, based on the operation data of hydropower station, the network model of energy characteristics is established based on GA-ANN, the relationship curve between head H and output N is gained under some efficiency. The results show that the algorithm is better than BP neural network and avoid the limitations of BP neural network, the results can be used in the optimal operation of hydropower, and it has a practical significance. The results show the new model has a great importance in hydraulic unit study. It could be generalized into other all efficiency prediction, and it offers a new way in water conservancy and at the meantime a new method for the study of ANN and GA.

Info:

Periodical:

Advanced Materials Research (Volumes 108-111)

Edited by:

Yanwen Wu

Pages:

692-695

DOI:

10.4028/www.scientific.net/AMR.108-111.692

Citation:

L. Y. Wang et al., "Application of ANN Trained with GA in Energy Characteristics of Hydraulic Turbine", Advanced Materials Research, Vols. 108-111, pp. 692-695, 2010

Online since:

May 2010

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Price:

$35.00

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