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Dam deformation monitoring model based on genetic algorithm of neural network

WANG Zhi-wang1,2,ZHANG Bao-jun2,LI Di2,ZHANG Man2 (1. China University of Geoscience, Wuhan 430074, China;2. Angtze River Scientific Research Institute, Wuhan, 430010 China)  
On the basis of brief introduction of the principle and algorithm of genetic neural network, the forecast model is applied to the monitoring data of tangential horizontal displacement, radial horizontal displacement and settlement of a dam. The result indicates that the forecast model could complete the train and forecast of the network with less training frequency and time by means of overall optimizing ability of genetic algorithm.
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