Research On Application Of GA And ANN In Data Analysis Of Earth-rock Dam Safety Monitoring

As to the actuality of safety monitoring and modern management of dam in our country, earth-rock dam is the feeble section. Many of them have more hidden problems, function in gear, so it is necessary to analyze the prototype observed data and to establish the monitoring model accurately and timely for discerning the operation conditions and controlling its safety. And analysis of safety monitoring data were offered new theoretical and technological supports because of Genetic Algorithm and Artificial Neural Network, based on the development of artificial intelligence. Herein lies the overall probability searching characteristic on Genetic Algorithm which is based upon superior selected and inferior eliminated mechanism, and the powerful ability in nonlinear mapping of Artificial Neural Network, the main work is as follows:In this paper, omission settlement of earth-rock dam is optimized with Hierarchic Genetic Algorithm by setting the omission settlement as a new regression gene, the result has testified that the value attained from the HGA model is better than the one from early model which is far away from the real settlement process.Then, concerning the difficulty of ascertaining hysteresis time of piezometric tube, Genetic Algorithm-Radial Basis Function Neural Network model is developed according as the method that reservior level is rectilinear correlation with piezometric tube level, which not only could be calculated by computer but also is showed logical and feasible.Mainly, in order to resolve the problem of prediction accuracy, after analyzing and comparing several safe monitoring and forecasting models, a newmodel--Genetic Regression model is suggested, which the genes used to erectthe earth-rock dam safety monitoring and forecasting model are selected properly through genetic chromosome and the balance between simulation and prediction accuracy is considered in fitness function, finally the insurance of the model's simulation precision and the improvement of the model's forecasting precision is demonstrated by an example.The last section draws a conclusion from the whole research and take a look into the forth-coming work on the analyzing of earth-rock dam safe monitoring data.