基于遗传神经网络的陕西省土地利用结构模型研究

针对土地利用结构变化的复杂特征与BP人工神经网络在预测应用上的缺陷,利用遗传算法来优化BP人工神经网络模型,形成了遗传算法与BP网络结合的遗传神经网络模型,通过运用matlab软件编制神经网络和遗传神经网络程序,实现模型的建立。证明遗传神经网络用于土地利用结构的预测是可行和有效的,有着良好的前景。

Research on Land Use Structure Model in Shaanxi Province Based on Genetic Neural Network

In allusion to the complicated characteristics of land use structure changes and the disfigurement of BP artificial neural network in forecast application,BP artificial neural network model was optimized by using genetic algorithm to form the genetic neural network model which was combined with genetic algorithm and BP network.Matlab software was used to compile the program of neural network and genetic neural network and realize the model establishment.It was proved that it was feasible and effective to use genetic neural network in the prediction of land use structure,with a good foreground.