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

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3 Author(s)
K. J. Satsios ; Dept. of Electr. & Comput. Eng., Aristotelian Univ. of Thessaloniki, Greece ; D. P. Labridis ; P. S. Dokopoulos

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

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IEEE Transactions on Magnetics  (Volume:35 ,  Issue: 1 )