摘要
神经网络具有良好的模式识别能力，而交通方式划分从本质上来看，是一个分类的问题。鉴于此，本文尝试运用概率神经网络进行交通方式划分的建模，并给出了算例。分析表明，该模型对方式划分问题不仅具有很强的解释性，同时具有很好的可操作性。
Artifical neural network ( ANN )techniques are notable in good ability for their
use in pattern recognition. The traffic modal split can be seen as a kind of classification
problemand probabilistic neural network can be used in modal split modelling, about which an
exam-ple is given in the paper for illustration. It shows that ANN is a proper method in explanation
and modelling of model split.
出处
《上海理工大学学报》
CAS
1999年第1期9-12,共4页
Journal of University of Shanghai For Science and Technology
关键词
概率神经网络
交通方式划分
模式识别
模型
artifical neural network
probabilistic neural network
traffic modal split
pattern recognition
