Prediction and Analysis of Time-Series Data by Using Nonlinear Oscillation Circuit Network
Project/Area Number |
19760270
|
Research Category |
Grant-in-Aid for Young Scientists (B)
|
Allocation Type | Single-year Grants |
Research Field |
Communication/Network engineering
|
Research Institution | Hiroshima Institute of Technology |
Principal Investigator |
YAMAUCHI Masayuki Hiroshima Institute of Technology, 工学部, 准教授 (40384169)
|
Project Period (FY) |
2007 – 2010
|
Project Status |
Completed (Fiscal Year 2010)
|
Budget Amount *help |
¥4,250,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥450,000)
Fiscal Year 2010: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2009: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2008: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2007: ¥2,300,000 (Direct Cost: ¥2,300,000)
|
Keywords | ネットワーク型発振器 / データマイニング / 同期現象 / 時系列データ / 予測 / 時系列データ予測 / 未来予測 / 時系列データ採取システム / スパイラルインダクタ |
Research Abstract |
In this study, we suggest a prediction system by using networks of coupled oscillators on which actual circuit are based. These circuits are 3x3 van der Pol oscillators, which are coupled by inductors as a lattice, and some van der Pol oscillators and one resonator, which are coupled mutual inductances between inductors of oscillators and inductors of a resonator. We predict chaos time-series data and air temperature time-series data by Pspice many using elements of actual scale and by normalize equations of 3x3 van der Pol oscillator array and Runge-Kutta method.
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Report
(6 results)
Research Products
(38 results)