摘要
建立了智能识别趋势模态及阶跃模态的模糊神经网络模型 ,讨论了模糊神经网络模型的结构、训练样本的构造及训练算法 ,最后用实验数据对该模型作了测验。结果证明该模型的反应速度及精度都优于BP网 。
This paper presented a fuzzy neural network model for intelligently identifying the trend and jump pattern, introducd the structure of this model and method of constructing training sample and training algorithm. Then, the model was tested by a set of experimental and factory manufacturing data. The results testify that the responsive speed and actuality of this model is better than BP model and it is fitted to apply this model for key process quality control in next generation intelligent manufacturing.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2004年第22期1998-2001,共4页
China Mechanical Engineering
基金
国家 8 63高技术研究发展计划资助项目 ( 863 -5 11-9844 -0 0 4)
南华大学科研项目 ( 5 -0 3 -XJQ -0 3 -0 42 )