| 基于神经网络的水产品价格预测模型研究 |
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| 引用本文： | 贺艳辉,袁永明,张红燕,龚赟翀,王红卫.基于神经网络的水产品价格预测模型研究[J].计算机与农业,2010(11):20-24. |
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| 作者姓名： | 贺艳辉 袁永明 张红燕 龚赟翀 王红卫 |
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| 作者单位： | 中国水产科学研究院淡水渔业研究中心农业部水生动物遗传育种和养殖生物学重点开放实验室,无锡214081 |
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| 基金项目： | 中央级公益性科研院所基本科研业务费专项资金（中国水产科学研究院淡水渔业研究中心）资助项目（编号2009JBFB20）; 国家863计划项目集约化水产养殖数字化集成系统研究与应用（编号2008AA10Z227） |
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| 摘 要： | 以水产品中鲫鱼为例,选择时间、地理环境和经济条件因素作为输入层变量,价格作为输出单元,输入样本进行训练和仿真,对训练好的网络输入预测样本,将预测结果与市场实际价格进行比较,其相对误差均小于1%。结果证明,所构建的水产品价格预测模型具有良好的精确性和准确性,将神经网络应用于水产品价格预测是可行的。
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| 关 键 词： | 水产品价格预测 人工神经网络 BP |
Research on Prediction Model of Aquatic Production Price Based on Artificial Neural Network |
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| HE Yanhui,YUAN Yongming,ZHANG Hongyan,GONG Yunchong,WANG Hongwei.Research on Prediction Model of Aquatic Production Price Based on Artificial Neural Network[J].Computer and Agriculture,2010(11):20-24. |
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| Authors: | HE Yanhui YUAN Yongming ZHANG Hongyan GONG Yunchong WANG Hongwei |
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| Institution: | (Key Laboratory of Genetic Breeding and Aquaculture Biology of Freshwater Fishes,Ministry of Agriculture,Freshwater Fisheries Research Center,Chinese Academy of Fishery Sciences,Wuxi 214081) |
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| Abstract: | In this study,crucian carp was selected as a predict species,by using time,geographic factors,environmental and economic conditions as variables at input layer,the price as the output,model training and simulation with the input of samples were carried out.The results showed the relative error was less than 1% between the prices of actual market and the values predicted by the trained network.The results showed the good accuracy and precision of the prediction model of aquatic production established in our study,verified the feasibility of the application of the neural network in the price forecast of aquatic products. |
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| Keywords: | price forecasting of aquatic products artificial neural network BP |
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