摘要
本文介绍作者设计并实现的一个基于BP人工神经网络和数据库的综合预测系统.该系统由数据库管理模块、BP人工神经网络模块、传统预测模块以及图形显示模块等组成.着重对BP人工神经网络的各种改进方案进行系统的总结和研究,并比较了BP人工神经网络和传统预测模型的预测结果.
Designs and implements an integrated predictive system based on Back Propagation and Artificial Neural Network (BP ANN)and database. The system consists of a database management module, BP ANN module, traditional predictive module, graphic module,etc. Various methods for improving BP ANN are emphatically summarized and studied. The predicted results of BP ANN and traditional predictive modules are compared with each other.
出处
《华东船舶工业学院学报》
1993年第3期53-60,共8页
Journal of East China Shipbuilding Institute(Natural Science Edition)
关键词
预测
数据库
管理系统
神经网络
predictions
databases management systems
neural networks