Application of Cascade-Correlation algorithm in energy characteristics of hydraulic turbine

The cascade correlation algorithm that is CC algorithms, CC network structure and CC network weights learning algorithm are introduced, based on the operation data of Wanjiazhai hydropower station, the network model of energy characteristics is established based on CC algorithm, the relationship curve between head H and output N is gained under some efficiency. The results show that the CC 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.