Prediction of Vegetable Price Based on Neural Network and Genetic Algorithm

文献类型： 外文期刊

第一作者： Zhou, Liying

作者： Zhou, Liying;Luo, Changshou;Wei, Qingfeng;Zhang, Junfeng;Sun, Sufen

作者机构：

关键词： genetic algorithm;neural network;prediction;vegetables price

期刊名称：COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE IV, PT 3

ISSN： 1868-4238

年卷期： 2011 年 346 卷

页码：

收录情况： SCI

摘要： In this paper, the theory and construction methods of four models are presented for predicting the vegetable market price, which are BP neural network model, the neural network model based on genetic algorithm, RBF neural network model and an integrated prediction model based on the three models above. The four models are used to predict the Lentinus edodes price for Beijing Xinfadi wholesale market. A total of 84 records collected between 2003 and 2009 were fed into the four models for training and testing. In summary, the predicting ability of BP neural network model is the worst. The neural network model based on genetic algorithm was generally more accurate than RBF neural network model. The integrated prediction model has the best results.

分类号：

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