摘要
针对专家系统开发过程中存在的问题，利用神经网络的学习功能、记忆功能和并行处理的优势，提出了用神经网络建立专家系统的方法。构造了神经网络专家系统的基本框架，阐述了神经网络专家系统中知识表达方法和推理策略，给出了石油开采中深井泵神经网络专家系统诊断的应用实例。
Seeing the shortcomings and weakness in the expert system developing,a method for establishing an expert system with nuaral networks(NNES) is given using the main virtues of neural networks which are learning,memory ability,parallel process ability and so on.The general theory and framework of NNES are studied.The methodology for knowledge expressing and strategy for reasoning are proposed.Finally,an example of using rod pumping diagnosis by means of NNES is illustrated.
出处
《江汉石油学院学报》
CSCD
北大核心
1997年第1期77-80,共4页
Journal of Jianghan Petroleum Institute
关键词
专家系统
神经网络
有杆泵
井下诊断
石油开采
expert system
neural networks
sucker rod pump
downhole status diagnosis
