【摘要】 以BP神经网络为模型,借助Matlab语言对某资源型城市的国民经济和可持续发展指标进行了分析预测,在数据采集和预处理的基础上,设计程序来对网络进行训练,用训练好的神经网络预测未来的指标数据,并利用预测数据对城市发展趋势进行分析,为资源型城市发展模式的选择提供依据.更多还原

【Abstract】 The system of sustainable development of resource-based cities is a complex giant system, which is composed of three interactional and interdependent basic levels; nature system, economic system and social system. Artificial neural network is nonlinear, with other properties such as parallel distributed processing and self-studying. So it can simulate the system of sustainable development of a resource-based city realistically. Based on neural network’s BP module, MATLAB is employed to analyze and forecast the indicators of economic and sustainable development of one resource-based city. Through data collection and pretreatment, the neural network module was trained, which was then used to forecast future indicators.更多还原