基于径向基函数神经网络的投资预测模型  

Research on Predicting Model of Investment Using Radial Basis Function Neural Network

作　　者：张亚平[1] 张立伟[2] 

机构地区：[1]黑龙江科技学院理学院,黑龙江哈尔滨150027 [2]哈尔滨工程大学自动化学院,黑龙江哈尔滨150001

出　　处：《吉林师范大学学报（自然科学版）》2011年第2期75-78,81,共5页Journal of Jilin Normal University:Natural Science Edition

基　　金：黑龙江科技学院引进人才项目(06-130)

摘　　要：利用径向基函数(RBF)神经网络,建立投资预测模型,有效解决经济投资预测中非线性预测问题.以历史数据为例,对所建立投资预测网络模型进行仿真、分析仿真结果.根据生产总值与投资分配之间存在的映射关系,应用RBF神经网络建立投资预测模型.模型既真实地表达了投资要素之间的高度非线性关系,又考虑了分配结构的优化问题,具有很高的预测精度,更具有较强的实际应用意义.The new economic investment prediction model is established by RBF neural network,which can effectively solve the nonlinear predictive forecasting economic investment issues.In the paper,the established models are simulated,the simulated results are analyzed according to the historical data.The predicting models of investment are established on the mapped relationship between gross production value and distribution of investment using RBF neural Network.The predicting result indicate that the model not only express the high non-linear relationship between the investment elements,but also has high prediction accuracy and Strong practical significance.

关 键 词：RBF神经网络 多重网格 投资预测 投资结构调整 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]