基于支持向量机的人口增长预测模型

Prediction Model of Population Growth Based on Support Vector Machine

支持向量机是基于结构风险最小化原理的一种学习技术,是一种具有很好泛化能力的预测工具,它有效地解决小样本、非线性、高维数、局部极小等问题。利用支持向量机对我国未来人口数量进行预测。仿真试验表明预测结果有较高的预测精度。

Support Vector Machine is a learning technology based on structure risk minimization and a predictive tool with better generalization ability, and it effectively solute the fewer samples, nonlinear, high dimension and local minima. This paper predict population growth by support vector machine. The simulation results show that it has higher accuracy of prediction.