基于神经网络的某超市水产品运营量预测模型研究

Research on Prediction Model of Supermarket Aquatic Product Based Artificial Neural Network

随着人工神经网络技术的不断成熟,人工神经网络和预测预报紧密结合起来。结合"神经网络+预测"的开发模式,引入BP人工神经网络学习算法,构建了某超市水产品运营预测模型,并讨论不同结构的BP网络及随机初始化对预测结果的影响,同时进行了神经网络预测方法和其它预测方法的比较。

ANN（Artificial Neural Network） has been integrated with prediction closely with the development of ANN technology.Combing the developing model of ANN and prediction,prediction model of supermarket aquatic product is proposed by introducing BP ANN learning algorithm.The influence of different structure of BP network and random initialization to prediction result is discussed,while prediction method based on ANN is compared to other prediction methods.