C++Builder编程实现BP网络城市可持续发展调控预测模型

Urban Sustainable Development Adjustment Prediction Model in Artificial Neural Network

在总结非线性时间序列预测模型的基础上,将城市可持续发展调控预测和人工神经网络BP算法相结合,通过查询相关城市可持续发展调控预测资料及网上搜索,确定作为模型预报因子的指数,再筛选影响城市可持续发展调控预测的相关指标,对原始数据进行处理,选取影响城市可持续发展调控预测的主要因素,提出了基于神经网络的城市可持续发展调控预测模型,并借助于C++Builder编程来实现。

Summing up the models on nonlinear time series forecasting, the paper combined the prediction of urban sustainable development adjustment （USDA） with artificial neural network. On the basis of the evaluation database of USDA and searching from internet, we determined the index of the model prediction factor, selected main influential factors of the prediction of USDA, and processed the original data, thus established artificial neural network prediction model of a city＇s sustainable development by using C ＋＋ Builder.