Prediction and Analysis of Time-Series Data by Using Nonlinear Oscillation Circuit Network

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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.