基于人工神经网络的区域经济子系统可持续发展指标预测研究

可持续发展系统是“黑箱”,至少是“灰箱”,各因素是间否存在因果关系还十分清楚,人工神经网络可以较为逼真地模拟该系统,本文以人工神经网络BP模型为工具,借助Matlab语言对区域可持续发展经济子系统指标进行预测研究,通过数据采集、网络结构模型设计、程序设计、网络训练等给出指标预测图并进行分析,最后提出建议,结果表明,用人工神经网络来模拟持续发展经济子系统是可行的。

Study of sustainable development indicators forecast about regional economic subsystem based on an artificial neural network

Sustainable development system is a "black box", at least a "Grey Box", how each component is related to each other is still not clear, artificial neural network can lively imitate this system. Based on artificial neural network's BP module, this article researches the forecasting regional sustainable development economic subsystem indicators by using Matlab language. Through data collection, neural network model design, programming and training, the forecast graphics can be got and analysis is made. Research shows it's aplicable to imitate regional sustainable development economic subsystem by using artificial neural network.