Presentation 2020-01-30
Capacitance Matrix Estimation of Multiconductor Transmission Lines Using Machine Learning
Yuya Sato, Tadatoshi Sekine, Shin Usuki, Kenjiro T. Miura,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this report, we propose a technique that estimates capacitance matrices of multiconductor transmission lines (MTLs) by machine learning based on a multi-layer perceptron. The proposed technique constructs and trains a neural network of which the inputs are shape parameters of the cross section of MTLs, and the output is the capacitance matrix. Numerical examples show that we can calculate accurate crosstalk voltages by using capacitance matrices estimated by the proposed approach.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) capacitance matrix / machine learning / multiconductor transmission lines / multi-layer perceptron
Paper # EST2019-82
Date of Issue 2020-01-23 (EST)

Conference Information
Committee EST
Conference Date 2020/1/30(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Beppu International Convention Center
Topics (in Japanese) (See Japanese page)
Topics (in English) Simulation Technique, etc.
Chair Akimasa Hirata(Nagoya Inst. of Tech.)
Vice Chair Shinichiro Ohnuki(Nihon Univ.) / Masayuki Kimishima(Advantest) / Jun Shibayama(Hosei Univ.)
Secretary Shinichiro Ohnuki(National Inst. of Tech.,Sendai College) / Masayuki Kimishima(Aoyama Gakuin Univ.) / Jun Shibayama
Assistant Takahiro Ito(Nagoya Inst. of Tech.) / Kazuhiro Fujita(Fujitsu)

Paper Information
Registration To Technical Committee on Electronics Simulation Technology
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Capacitance Matrix Estimation of Multiconductor Transmission Lines Using Machine Learning
Sub Title (in English)
Keyword(1) capacitance matrix
Keyword(2) machine learning
Keyword(3) multiconductor transmission lines
Keyword(4) multi-layer perceptron
1st Author's Name Yuya Sato
1st Author's Affiliation Shizuoka University(Shizuoka Univ.)
2nd Author's Name Tadatoshi Sekine
2nd Author's Affiliation Shizuoka University(Shizuoka Univ.)
3rd Author's Name Shin Usuki
3rd Author's Affiliation Shizuoka University(Shizuoka Univ.)
4th Author's Name Kenjiro T. Miura
4th Author's Affiliation Shizuoka University(Shizuoka Univ.)
Date 2020-01-30
Paper # EST2019-82
Volume (vol) vol.119
Number (no) EST-407
Page pp.pp.19-24(EST),
#Pages 6
Date of Issue 2020-01-23 (EST)