Presentation 2010-07-13
Prediction of Temperature-Time-Series Data by Coupled Oscillators System with Printed-Spiral Inductors
Toru TANAKA, Kazuhisa YOSHIMATSU, Takeo IMOTO, Masayuki YAMAUCHI, Mamoru TANAKA,
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Abstract(in English) Predictions of time-series data in natural world are very important. For example, if nonlinear time-series data are predictable, we can take adequate action for problems of weather, manufacturing of clothes, the power generation problem and so on. Recently, these study is using the statistics. In this study, we propose prediction methods for time-series data by using PSpice. We predict temperature-time-series data of Hiroshima by using PSpice. We show possibility of predictable by an actual circuit.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Printed spiral inductor(PS-Inductor) / Time-series data / Coupled oscillators / Prediction
Paper # NLP2010-46
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Committee NLP
Conference Date 2010/7/5(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Prediction of Temperature-Time-Series Data by Coupled Oscillators System with Printed-Spiral Inductors
Sub Title (in English)
Keyword(1) Printed spiral inductor(PS-Inductor)
Keyword(2) Time-series data
Keyword(3) Coupled oscillators
Keyword(4) Prediction
1st Author's Name Toru TANAKA
1st Author's Affiliation Department of Electronics and Computer Engineering, Hiroshima Institute of Technology()
2nd Author's Name Kazuhisa YOSHIMATSU
2nd Author's Affiliation Department of Electronics and Computer Engineering, Hiroshima Institute of Technology
3rd Author's Name Takeo IMOTO
3rd Author's Affiliation / Department of Electronics and Computer Engineering, Hiroshima Institute of Technology
4th Author's Name Masayuki YAMAUCHI
4th Author's Affiliation Department of Electrical and Electronics Engineering, Sophia University
5th Author's Name Mamoru TANAKA
5th Author's Affiliation
Date 2010-07-13
Paper # NLP2010-46
Volume (vol) vol.110
Number (no) 122
Page pp.pp.-
#Pages 6
Date of Issue