安徽农业科学2011，Vol.39Issue(26)：16243-16244,16267,3.
基于遗传算法神经网络模型的蔬菜价格预报
Prediction and Research on Vegetable Price Based on Genetic Algorithm and Neural Network Model
摘要
Abstract
Considering the complexity of vegetables price forecast, the prediction model of vegetables price was set up by applying the neural network based on genetic algorithm by using the characteristics of genetic algorithm and neural work. Taking mushrooms as an example, the parameters of the model are analyzed through experiment. In the end, the results of genetic algorithm and BP neural network are compared. The re sults show that the absolute error of prediction data is in the scale of 10% ; in the scope that the absolute error in the prediction data is in the scope of 20% and 15%. The accuracy of genetic algorithm based on neutral network is higher than the BP neutral network model, especially the absolute error of prediction data is within the scope of 20%. The accuracy of genetic algorithm based on neural network is obviously good than BP neural network model, which represents the favorable generalization capability of the model.关键词
遗传算法/神经网络/蔬菜价格/预测Key words
Genetic algorithm/Neural network/ Vegetables price/Prediction分类
农业科技引用本文复制引用
郭强,罗长寿,魏清凤..基于遗传算法神经网络模型的蔬菜价格预报[J].安徽农业科学,2011,39(26):16243-16244,16267,3.基金项目
北京市自然基金项目(9093019). （9093019）
