基于人工神经网络对经济总量指标的预测——以北京市为例Economy Gross Index Forecast Based on Artificial Neural Network——Take Beijing City as an Example

本文利用RBF网络建立国民经济预测模型

对经济总量指标预测的误差程度较低

） Abstract： Economy forecast is an important and complicated work that can provide scientific gist on holding the future economy run status, estimating development aftereffect and establishing develop stratagem for government, enterprises and other related department

Artificial neural network is becoming a powerful tool to solve practice problems for its cosmically parallel disposal, allowing faults quality, self-organizing, self-accommodation and strong association function

RBF network is a new effective kind of forward-direction neural network

In this paper a country economy forecast model is built using RBF network, take data between 1991 and 2006 as stylebook data, and use a software called Matlab to check the effect of the model, find the error of forecast is lower than other methods

Keywords： RBF network;economy forecast; economy gross index;selecting stylebook data 下载PDF阅读器 PDF全文下载： 初稿 （ 128 ） 作者简介： 通信联系人： 【收录情况】 中国科技论文在线： 周彦喆

 基于人工神经网络对经济总量指标的预测——以北京市为例[EB/OL]

北京：中国科技论文在线

RBF网络是一种新颖有效的前向型神经网络

经济总量指标

关键词： RBF网络

经济预测

） 摘要： 经济预测是一项非常重要而复杂的工作