基于神经网络的林区道路林产品货运量预测方法分析  

Analysis of Forecasting Methods of Forest Roads Freight Volume Based on Neural Network

作　　者：李德才[1] 

机构地区：[1]东北林业大学交通学院,黑龙江哈尔滨150040

出　　处：《安徽农业科学》2015年第23期161-162,233,共3页Journal of Anhui Agricultural Sciences

基　　金：中央高校基本科研业务费专项资金项目(DL12BB16);国家自然科学基金项目(51305181)

摘　　要：根据近年来的交通现状来分析和阐释林区道路货运量预测方法的优缺点,运用神经网络的相关理论对林区道路林产品货运量进行预测分析,运用MATLAB进行训练,预测出林区道路林产品货运量,并与实际数据相比较,对此种方法检验准确度。结果表明,基于神经网络的林区道路货运量的预测简单有效,准确并且容易掌握。According to the traffic situation in recent years,this paper analyses and explains the advantages and disadvantages of highway freight volume forecasting method. Using relevant theory of neural network,forest roads freight volume was predicted,using MATLAB to train and compare with the actual data,the accuracy of the method was inspected. The prediction of forest roads volume based on neural network is accurate and easy to operate.

关 键 词：货运量 预测 神经网络 林区道路 

分 类 号：S782.51[农业科学—木材科学与技术]