【摘要】 将自适应遗传算法与BP神经网络有机结合,提出了一类基于主成分分析的随机遗传神经网络模型,以此建立了房价预测模型。与现有的非随机遗传神经网络预测模型相比,本模型收敛速度更快,精确度更高,实用性更强。更多还原

【Abstract】 This paper combines adaptive genetic algorithm with BP neural network organically,and a stochastic genetic neural network model based on principal component analysis is proposed.Based on this,aprediction model of house price is established.Compared with the existing non-random genetic neural network prediction model,the model has faster convergence,higher precision and more practicability.更多还原