一种人工神经网模型及其在专家系统中的应用

AN ARTIFICIAL NEURAL NET MODEL AND ITS APPLICATION TO EXPERT SYSTEMS

  • 摘要: 本文提出了一种新的人工神经网模型,这一建立于感知机和线性机基础之上的多层网络模型,可用以处理模糊分类的问题,这个模型作为知识库,被应用于一个生产决策专家系统,在学习功能,运行速度,对新问题的适应性和对输入数据的容错性等方面,均优于原来的系统,取得了令人满意的效果.

     

    Abstract: An artificial neural net model is proposed in this paper. The multi-layer model based on perceptron and linear machine can be used to treat fuzzy classification problems. As a knowledge base, the model is applied to a production planning decision-making expert system with satisfactory results and has advantages over the previous one in learning ability, operation speed, adaptability to new problems and fault tolerance to input data.

     

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