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;并详细阐述了神经网络专家系统的设计过程及BP神经网络的改进算法。
Seeing the shortcomings and weakness in the conventional expert system, a method for establishing an expert system with neural 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 design process of NNES and BP network algorithm is expatiated.
出处
《农机化研究》
北大核心
2004年第4期117-119,共3页
Journal of Agricultural Mechanization Research
基金
江苏省国际合作项目(BZ2002055)
