An intelligent strategy of vehicle scheduling based on fuzzy-neuron networks

被引：0

作者：

Lu, F ^{[1
]}

Li, HG ^{[1
]}

机构：

[1] Beijing Univ Chem Technol, Coll Informat Sci & Technol, Beijing 100029, Peoples R China

来源：

2005 IEEE International Conference on Vehicular Electronics and Safety Proceedings | 2005年

关键词：

fuzzy-neuron networks; logistics; vehicle scheduling;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A brand new intelligent system of vehicle scheduling is proposed and applied to the logistics companies whose service is transportation with vehicle. The key technology of this system is a compound fuzzy-neuron Networks. First, a synthetically satisfied function is conceived. Then it is divided into three sub-functions. Each sub-function is based on each own fuzzy rules and realized by a compound fuzzy-neuron Networks. The final value of each vehicle is the sum of each sub-function multiplying its own right. The selective car which has the highest value is the vehicle to send the scheduling order to.

引用

页码：261 / 265

页数：5

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