摘要
本文提出了在化工过程预报中的模糊聚类神经网络模型,该模型具有提取典型数据、优化模糊规则及优化参数的优点,在化工过程预报实验中与传统方法相比预报结果的精度提高,计算时间缩短。
In this paper, fuzzy clusting neural network system model is proposed in order to prediction chemical process. The model has following salient features： typical datum was bolted from source datum, optimizing rules and parameters. The experimental result is compared with traditonal method that precision of prediction is improved and computation time is reduced.
出处
《微计算机信息》
北大核心
2006年第03Z期253-255,共3页
Control & Automation
基金
黑龙江省教育厅科技资助项目
编号:10511141
关键词
神经网络
模糊聚类
预报模型
化工过程
neural network
fuzzy clusting
prediction model
chemical process
