基于神经网络的矿山企业智能诊断专家系统

    RESEARCH OF INTELLIGENT DIAGNOSIS EXPERT SYSTEM OF MINE ENTERPRISE BASED ON NEURAL NETWORK

    • 摘要: 当企业拥有了数量庞大的生产经营数据后, 如何方便、快捷地从这些数据中发现企业经营中存在的瓶颈, 是矿山企业智能诊断研究所要解决的问题, 为此本文研究了人工神经网络技术与专家系统的集成用于矿山企业生产经营中知识模式的发现, 利用神经网络极强的学习能力, 进行诊断知识的获取和诊断推理, 模拟专家发现企业故障的因果关系。

       

      Abstract: When enterprise possesses numerous data,what the research of mining intelligent diagnosis solves is how to discover the bottlenecks existing in the enterprise operation from these data conveniently and quickly.Therefore the paper researches intellective pattern of the integration of artificial neural network technologies and expert system applied in mining production operation and makes use of better learning ability of neural network to acquire diagnostic knowledge,do the diagnostic reasoning and simulate causality that experts discover enterprise faults.

       

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