Paper Title:
Study of Combination Character Based ANN and one Dimensional Optimization in Axial-Flow Water Turbine
  Abstract

This paper uses artificial neural network (ANN) and one dimensional optimization method to get an auto-analysis method on combination character test data in the axial-flow turbine. It can obtain the combination character of hydraulic turbine automatically based on the test data. Compared to the classical method of artificial computation, it can shorten mach computing time and avoid the character conversion of different water head, it also can increase the computation accuracy. So it can supply the method to reference use in processing character test data of hydraulic turbine.

  Info
Periodical
Edited by
Ran Chen
Pages
1360-1364
DOI
10.4028/www.scientific.net/AMM.44-47.1360
Citation
L. Y. Wang, D. H. Wei, X. L. Xu, "Study of Combination Character Based ANN and one Dimensional Optimization in Axial-Flow Water Turbine", Applied Mechanics and Materials, Vols. 44-47, pp. 1360-1364, 2011
Online since
December 2010
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$32.00
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