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APPLICATION OF NEURAL NETWORK MODEL WITH PARTIAL LEAST-SQUARES REGRESSION INTO INTERPRETATION ON OBSERVATION DATA OF DAM |
Deng Nianwu, Qiu Fuqing |
(College of Water Conservancy and Hydropower Engineering,Wuhan University, Wuhan 430072 China) |
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Abstract Partial least-squares regression method can resolve the problem of serious multicollinearity among variables,and the neural network can overcome the shortcoming that the conventional models must be the combination of linearity and non-linearity of imput data. The two methods, neural network model with partial least-squares regression of observation data of dam are combined. The result of an example shows that the prediction is of high precision with the proposed method.
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