Application of GA-BP-based prediction model to forecasting water environments in Weihe River Basin

Yinfeng Liu

Abstract


The paper combined the genetic algorithm (GA, for short) with back propagation (BP, for short) in the research. Specifically, GA was first used to optimize the initial weight and structure of neural networks, through which locating good search space within the solution space; then, the best solution was ascertained among suitable solutions in that small search space by means of BP. Finally, the paper applied the GA-BP-based prediction model to forecasting water environments in Weihe River Basin.


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