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- W2189320251 abstract "A newmodelforspiral inductors, which coverswideoperation frequency rangeandfulldesign parameters, isproposed byusing artificial neural network (ANN). Itispointed outthat afour-layered neural network issuperior toathree-layered neural network bothonthe mappingandgeneralization abilities inspiral inductor modeling. Forthefirst time, anovel physics-based sampling technique isadopted inmodeling procedure. Equipped with thisnewsampling method, ANN modelachieves better speed andaccuracy performances though thetraining data aresubstantially reduced. Thenewsampling method canbe easily applied to otherpassive components and be embedded invarious modeling frameworks." @default.
- W2189320251 created "2016-06-24" @default.
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- W2189320251 date "2005-01-01" @default.
- W2189320251 modified "2023-09-24" @default.
- W2189320251 title "Modeling of SpiralInductors Using Artificial NeuralNetwork" @default.
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- W2189320251 hasPublicationYear "2005" @default.
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