人工神经网络在ERP系统中的应用

在传统的ERP的基础上，增加专家系统模块，即基于人工神经网络技术的预测分析模块，提出了ERP和专家系统的集成管理方法，完成复杂的非线性预测，以使ERP系统智能化、自动化水平更高。该模块采用反向传输BP神经网络模型来实现，通过网络的自适应学习和训练，找出输入和输出之间的内在联系，以求解问题。利用该专家系统对汽车制造企业市场销售量进行预测，结果表明：该方法性能、实用性和通用性好。

Application in ERP system for artificial neural network

An expert system module which is a prediction analysis module based on the artificial neural network was added into traditional ERP system for the complex nonlinear prediction, so that the intelligent and automatic level of ERP system was higher.The module carried out the nonlinear prediction by using the BP neural network.The BP neural network got the inherent relation between the inputs and outputs and the solution of the involved problem by adjusting the weight of the neural network on line and training.A car market of the car manufacturing company was predicted.The result shows that the method possesses the excellent performance and practicability, which can be used as a effective method for ERP system.