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    用遗传算法解决FCC专家系统中的学习问题

    USING GA FOR LEARNING IN FCC EXPERT SYSTEM

    • 摘要: 文中介绍的GAFMLS(基于遗传算法的事故矩阵学习系统)利用遗传算法有效地解决了石油催化裂化(FCC)故障诊断专家系统中事故矩阵的学习问题.实际运行结果表明,通过GAFMLS可以获得更优的事故矩阵,从而提高了FCC故障诊断的可靠性和精确性.

       

      Abstract: This paper introduces GAFMLS (GA based Fault Matrix Learning System), which applies GA into the FCC expert system to learn a near optimal fault matrix used in the FCC fault diagnosis process. The practical running results show that more effective fault matrixes can be generated by GAFMLS, and the reliability and precision of the FCC expert system are improved.

       

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