基于神经网络模型的猪肉物流需求预测及对策

发布时间：2018-03-14 08:38

本文选题：猪肉　切入点：预测模型　出处：《黑龙江畜牧兽医》2017年12期 　论文类型：期刊论文

【摘要】：猪肉是居民餐桌上不可或缺的肉类之一,合理预测猪肉物流需求至关重要。笔者应用MLP神经网络模型,建立了一个"经济影响因素-猪肉物流需求"预测模型。为了证明模型的预测效果,应用2010—2015年猪肉相关经济数据进行了验证。结果表明:模型的预测准确度达到了97%,并利用该模型预测了2016年的猪肉物流需求量。建议从加强猪肉市场信息化建设、发展电子商务交易模式、完善猪肉物流市场、加强猪肉生产者和第三方物流合作组织建设等方面采取措施保障猪肉市场健康稳定运行。
[Abstract]:Pork is one of the indispensable meat on the dining table. It is very important to predict the demand of pork logistics reasonably. This paper applies MLP neural network model. A forecasting model of "economic influence factor-pork logistics demand" is established. In order to prove the forecasting effect of the model, The results show that the prediction accuracy of the model is 97%, and the demand of pork logistics in 2016 is predicted by the model. It is suggested that the information construction of pork market should be strengthened. To develop the electronic commerce transaction model, to perfect the pork logistics market, to strengthen the construction of pork producers and third party logistics cooperative organizations, and to take measures to ensure the healthy and stable operation of the pork market.
【作者单位】：廊坊燕京职业技术学院;
【基金】：2015年度河北省教育厅人文社会科学研究项目(2015256)
【分类号】：F323.7;F326.6;TP183

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