摘要
该文把神经网络中的BP(Back—Propagation)网络算法引入到FPN(Fuzzy Petri Nets)模型中,使得FPN具有像神经网络中的BP网络一样的学习能力,FPN模型的学习和训练对聚驱规则库系统的建立、维护和更新等有着重要的意义。
The FPN(Fuzzy Petri Nets)has obtained the same learning ability from BP(Back—Propagation) network in neural networks.The learning and training of FPN has vital significance to the establishment,renewal and maintenance of the rule system of polymer flooding.
出处
《电脑知识与技术(过刊)》
2011年第5X期3401-3404,共4页
Computer Knowledge and Technology
关键词
模糊PETRI网
BP网络
综合调整
fuzzy petri nets
back-propagation
comprehensive adjustment