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胡斌杰

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期刊论文

NEURAL NETWORK WITH KNOWLEDGE-BASED NEURONS FOR THE MODELING OF CROSSOVER DISCONTINUITIES IN STRIPLINE CIRCUITS

胡斌杰J. S. Hong B. Z. Wang B. J. Hu and Y. W. Liu

MICROWAVE AND OPTICAL TECHNOLOGY LETTERS/Vol. 34, No.2, July 20 2002,-0001,():

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摘要/描述

A novel three-layer neural network with knowledge-based neurons in hidden layer (NNKBN) has been applied to model the crossover discontinuities in stripline circuits. The NNKBN model is electromagnetically developed with a set of data that are produced by the fullwave finite-difference-time-domain method. Numerical experiments show that the NNKBN model has many advantages over the conventional multilayer perceptron model.

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