基于径向基函数网络的我国汽车拥有量预测  

Forecast of the Population of Automobiles in China Based on Radial Basis Function Network

作　　者：关仕罡[1] 程赐胜[1] 

机构地区：[1]长沙理工大学交通运输学院,湖南长沙410076

出　　处：《长沙交通学院学报》2004年第1期77-80,共4页Journal of Changsha Communications University

摘　　要：在采用径向基函数网络方法对我国中长期的汽车拥有量进行预测时,通过与人们常用的BP网络方法和灰色系统预测法进行比较,更具有收敛速度快、稳定性好和精度高的特点,说明该方法具有较好的实用性。In this paper, the authors forecast the automobile population in China in the future based on RBF network. The results by this method were compared with those of BP network and gray-forecasting which was always used, the method has its unique features, they are quick convergence, good stability and high precision. It has shown that RBF is more practicable.

关 键 词：汽车 拥有量 神经网络 径向基函数网络 预测 

分 类 号：U491.14[交通运输工程—交通运输规划与管理]