神经网络专家系统的状态识别、知识表示和求解策略

Pattern Recognition,Knowledge Representation and Solving Strategy in Neural Network Expert System

  • 摘要: 将神经网络与人工智能技术相结合,提出了1种新型的知识表示的形式化描述和知识单元。知识通过模式分类导入,并用IMSBP和(B-B)BP调节2种不同类型的权。在此基础上提出了神经网络的双向求解策略。以加热炉控制验证了其可行性。

     

    Abstract: The method combining the neural network with the traditional expert system is studied.A new description language for neural network knowledge representation and the concept of knowledge unit is proposed. The knowledge guides in neural network by (B-B) BP and IMSBP. And a Solving Strategy for the neural network positive and negative problem is presented. A example of the heating furnace controlled object by using the description language is given.

     

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