基于Clementine神经网络的商品促销效果预测模型应用

介绍了人工神经网络的基本原理，将神经网络的BP算法引入商品促销研究领域，并运用Clementine建立BP神经网络模型，以某个历史促销数据为原始数据样拳，对网络进行训练后，对商品促销效果进行预测，预测模型在预测精度和收敛速度方面都达到了较好的效果．对商家的决策支持产生了积极的影响。

Application of BP Algorithm Based on Clementine for Forecasting Effects of Commodity Promotion

This article introduced the artificial neural network basic concept.BP algorithm of Neural Networks was introduced into commodity promotion, established the BP neural network model by Clementine, took some historical sales data as the primary datasample, carried on the training after the network, had carried on the forecast to the effects of commodity promotion, Forecastaccuracy and algorithmic convergence speed of the forecast model reached fairly good effect, which had a positive impact on the business decision support.