基于Web的神经网络指标预测系统的实现

摘要

本文结合指标预测软件的发展现状及趋势，介绍了采用神经网络和主成分分析方法的指标预测系统，根据网络技术的发展情况，重点提出了基于Web的神经网络指标预测系统解决方法。建立了建设工程指标预测的基本模型。系统采用了实际工程项目的资料作为学习内容，运行结果表明，采用该方法建立的建设工程指标预测模型是正确可行的。%In this paper, the status indicators and predict trends in software development,describes the use of neural networks and principal component analysis of indicators forecasting system,based on network technology development and focuses on Web-based indicators of neural network prediction system solutions.Construction of indicators to forecast the establishment of the basic model.System uses the actual project as a learning content information,the results show that this method of construction oroiects to establish indicators of t~rediction model is correct and feasible.