Artificial Neural Network For Crosstalk Prediction In Stripline Transmission Lines

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Artificial Neural Network For Crosstalk Prediction In Stripline Transmission Lines

Crosstalk can cause serious electromagnetic interference problem and crosstalk prediction in the early design stage is important. Several conventional modeling methods such as RDSI and SPICE have previously presented to predict crosstalk in non-uniform transmission lines and it needs large CPU mem...

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Bibliographic Details
Main Author:	Kong, Chun Lei
Format:	Monograph
Language:	English
Published:	Universiti Sains Malaysia 2018
Subjects:	T Technology TK Electrical Engineering. Electronics. Nuclear Engineering
Online Access:	http://eprints.usm.my/53306/ http://eprints.usm.my/53306/1/Artificial%20Neural%20Network%20For%20Crosstalk%20Prediction%20In%20Stripline%20Transmission%20Lines_Kong%20Chun%20Lei_E3_2018.pdf

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