基于支持向量机的资源型城市可持续发展指标体系研究

资源型城市的可持续发展系统是由自然、经济、社会三个基本层次组成的相互作用且相互依赖的复杂巨系统。支持向量机回归具有非线性、并行分布处理、自学习等特点，可以较为逼真地模拟该系统。本文通过对资源型城市可持续发展指标体系现有主要方法的研究，提出以支持向量机为模型的资源型城市可持续发展指标的分析预测方法，并应用此方法构造支持向量机。绘制指标预测图。对铜陵市国民经济总产值进行了预测。结果表明本预测方法效果较好。

On the sustainable development indicator system for resources city based on support vector machine

The system of sustainable development of resources city is a complex giant system, which consists of three interactional and interdependent basic levels including natural system, economic system and social system. Support vector machine(SVM) has the properties such as nonlinear, parallel distributed processing, self - studying and so on. So it can simulate the system of sustainable development of resources city realistically. Based on SVM module, this paper analyzes and forecasts the indicators of economic and sustainable development of Tongling City. Through data collection and pretreatment, firstly SVM is trained and then future indicators are forecasted using trained SVM model. The experimental results demonstrate the effectiveness of the approach.