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
收藏
页码：261 / 265
页数：5
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