摘要
大多数工业生产过程，都是具有较多不确定因素的复杂过程，难于用常规方法建立数学模型．把模糊系统理论与神经网络理论相结合，构造了一种模糊神经网络辨识算法。
Many manufacturing processes are complex oues with a lot of uncertain factors, and it is difficult to build a mathematical model for them using normal method.Authors have developed a fuzzy neuralnetwork identification algorithm for solving yhis problem. The algorithm has been applied to the process identification of Synthetic Ammonia manufacturing system,and a good result was obtained.
出处
《四川大学学报（自然科学版）》
CAS
CSCD
北大核心
1997年第6期801-806,共6页
Journal of Sichuan University(Natural Science Edition)
关键词
生产过程
系统辨识
合成氨
模糊神经网络
complex manufacturing process,system identification,fuzzy relationship model,neuralnetwork
