Pattern Recognition,Knowledge Representation and Solving Strategy in Neural Network Expert System
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摘要: 將神經網絡與人工智能技術相結合,提出了1種新型的知識表示的形式化描述和知識單元。知識通過模式分類導入,并用IMSBP和(B-B)BP調節2種不同類型的權。在此基礎上提出了神經網絡的雙向求解策略。以加熱爐控制驗證了其可行性。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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Key words:
- expert system /
- neural network /
- state recogition /
- self-learning
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