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

摘要：

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.

关键词： Cascade-Correlation algorithm cavitation characteristics BP hydro turbine

作者: Zhao Wei-guo Wang Li-ying

作者单位: College of Water Conservancy and Hydropower,Hebei University of Engineering Han Dan,056038,China

会议类型: 国际会议

会议名称: 2010 International Conference of Environment Materials and Environment Management(2010年环境材料与环境管理国际学术会议 EMEM 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 250-253

在线出版日期: 2010-07-24（万方平台首次上网日期，不代表论文的发表时间）