The recent developments in knowledge based neural modeling
作者： M. Simsek , Q.J. Zhang , H. Kabir , Y. Cao , N.S. Sengor
DOI: 10.1016/J.PROCS.2010.04.147
关键词:
摘要: Abstract Artificial neural networks have been recognized as an important technique in microwave modeling and optimization. This paper gives overview recent developments on the knowledge based techniques design. The artificial are constructed by incorporating existing such empirical formulas, equivalent circuit models semi-analytical equations network structures. reduces complexity of model. combination requires less training data has better extrapolation performance than classical networks. advantages using demonstrated with two applications characteristic impedance thin-film microstrip line parametric differential via holes.
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