摘要
文章将模糊数学理论和神经网络相结合，建立了一个自适应的模糊识别与神经网络协作系统，成功地解决了在无专家经验的情况下，自动建立模糊隶属度函数和模糊识别规则的问题。该系统实现了从汽车图象的获取、车型的识别、确定收费标准等全过程的自动化，从而解决了自动交通管理中有关自动识别车型难题，具有很高的实用价值。
A System of Recognition of Automobiles′ figures based on the Fuzzy Neural Network and Application in Superhighway′ s Toll- gate is posed. Fuzzy Mathematics and Neural Network theory are combined to found a self- adaptive Neuro- Fuzzy Cooperation system. Fuzzy membership function and recognition rules are established automatically without any domain experts' experience. The whole procedure from getting automobiles' images, recognizing their types to determining the roll is realized. The system is helpful to solve the problem of auto- recognizing the cars' type in the autoadministration of traffic and has great practicability.
出处
《微电子学与计算机》
CSCD
北大核心
1999年第1期24-29,共6页
Microelectronics & Computer
关键词
收费站
高速公路
汽车外形
识别
模糊神经网络
Image processing, Image smoothing, Image enhancement,Edge- detection, Fuzzy pattern recognition, Neural network, Membership function
