Application of Cascade-Correlation Algorithm in Cavitation Characteristics of Hydro Turbine

Abstract:

The cascade correlation algorithm that is cascade-correlation(CC) algorithms, CC network structure and CC network weights learning algorithm are introduced, based on the real data in hydropower station, considering the cavitation characteristics, the network model is established based on CC algorithm, and the applications of CC and BP algorithm of turbine are compared. The results show that the CC algorithm is better than BP neural network, the results can be used in the optimal operation of hydropower, and it has a practical significance.

• Periodical: Advanced Materials Research (Volumes 113-116)
• Pages: 250-253
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.113-116.250
• Online since: June 2010
• Authors: Wei Guo Zhao, Li Ying Wang
• Keywords: BP, Cascade-Correlation Algorithm, Caviation Characteristics, Hydro Turbine

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