Application of BP Neural Network in Exhaust Emission Estimatation of CAPS

被引：1

作者：

Wang, Linqing ^{[1
]}

Tang, Jiafu ^{[1
]}

机构：

[1] Northeastern Univ, Coll Syst Engn, Shenyang 110819, Peoples R China

来源：

LIFE SYSTEM MODELING AND INTELLIGENT COMPUTING, PT II | 2010年 / 6329卷

关键词：

exhaust emission estimation; pickup demand forecasting; city airport pickup service; backpropagation neural network;

D O I：

10.1007/978-3-642-15597-0_35

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An approach is put forward in this paper to introduce environment factors into transportation system optimization management of enterprises which supply a CAPS. The method of estimatate the exhaust emission of vehicles in CAPS is presented and involves four steps. The designing BP NN(Backprogapation Neural Network), in step 1, is the main content and is for forcasting the pickup demand of CAPS as the basic study of the whole method. In part 3 the process of estimation exhaust emission of vehicles in CAPS is prensented. The case study of pickup demand forecasting in CAPS is given. According to the case study, the structure of the BP NN is proved to be correct and reasonable and can be used to forecast the pickup demand of CAPS as long as there is enough samples to train the designing network. Moreover, the further studies is proposed at last.

引用

页码：312 / 320

页数：9