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In order to solve the problem with being easily trapped in a local optimum of back propagation neural network (BPNN) and the premature convergence based on standard genetic algorithm (SGA), a dynamic and adaptive model which combines the modified genetic algorithm (MGA) with BPNN is proposed in this paper. By introducing modified genetic operators and dynamic mutation probability measure, the MGA-BP...
Replacing Least Squares Method by Real coding based Accelerating Genetic Algorithm (RAGA), the parameters of time response function in the GM (1, 1) Model are optimized. Combined with BP Artificial Neural Networks Model, the Equa ldimension Gray Filling BP Neural Networks Model Based on RAGA is established. By this model, predicted the groundwater depth of Chuangye farm in Sanjiang Plain. The structural...
In recent years, computational intelligence methods are widely used to solve problems in engineering structural field by more and more researchers. In this paper, a method based on combining artificial neural networks (ANN) and genetic algorithm (GA) in identifying the prestress loss of the long span bridge was proposed. A model with some parameters was constructed to access the prestress loss. Based...
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