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An artificial intelligence system for a complex electromagnetic field problem. II. Method implementation and performance analysis

机译:一种用于复杂电磁场问题的人工智能系统。二。方法实施和性能分析

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For pt. I see ibid., vol. 35, no. 1, p. 516-22 (1999). An artificial intelligence system has been developed to determine the electromagnetic field in the complex problem of a faulty overhead transmission line above earth and a buried pipeline. The amplitude and phase of the magnetic vector potential (MVP) in the earth around the pipeline neighborhood, including the pipeline itself, are calculated, The performance of the trained fuzzy logic system (FLS) described in Part I was tested extensively for various configurations of the above electromagnetic field problem, differing significantly from the cases used for training. The trained FLS parameters required to calculate the electromagnetic field by simple formulas are also presented.
机译:对于pt。我看同上。 35,没有1页516-22(1999)。已经开发出了一种人工智能系统来确定复杂的地面以上架空输电线路和地下管道故障中的电磁场。计算了管道附近(包括管道本身)周围的地球中的磁矢量电势(MVP)的幅度和相位。对第一部分中描述的经过训练的模糊逻辑系统(FLS)的性能进行了广泛测试,涉及以下方面:上述电磁场问题,与用于训练的情况有很大不同。还介绍了通过简单公式计算电磁场所需的经过训练的FLS参数。

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