水泥回转窑内图象增强的遗传神经网方法  

The Method of Genetic Neural Network for Intensification of Image Inside Cement Rotating Kiln

作　　者：张学东[1] 姜宏洲[1] 张宏勋[1] 

机构地区：[1]东北大学信息科学与工程学院,沈阳110006

出　　处：《自动化仪表》2000年第8期14-16,共3页Process Automation Instrumentation

摘　　要：回转窑内图象增强方法是将遗传神经网用于回转窑内图象增强，即针对图象的特征使用遗传算法优化网络的参数，最终获得用于回转窑内图象增强的遗传神经网。具体介绍了遗传神经网，回转窑内图象的增强和仿真结果。The intensification of the image inside rotating kiln is implemented by using genetic neural network method. Then the network parameters are optimized by genetic algorithm based on the features of the image and the generic neural network used for image intensification is obtained. The generic neural network and the simulation result of the intensification are introduced concretely.

关 键 词：图象处理 增强处理 回转窑 遗传神经网 水泥 

分 类 号：TQ171.622[化学工程—玻璃工业] TP183[化学工程—硅酸盐工业]