Abstract
Aiming at the problems of residual chaos effect in dam common monitoring model and the fitting degree of model regression methods, the dam deformation observation data fitting residual was extracted with genetic neural network (GA-BP) algorithm by combining the advantage of genetic algorithm and neural network. For the chaotic characteristics of deformation fitting residual, chaos theory was used to analyze residual series, and the residual prediction results were added in GA-BP prediction model. Hereby, the GA-BP prediction model considering chaos effect of dam displacement residual was established. Example showed that the calculation accuracy and convergence rate of this prediction model were all improved, and the prediction effect of this model was better. Furthermore, the modeling methods introduced in this paper could be applied to security early warning in slope and other hydraulic structures.
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