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This paper introduces several nonlinear multi-model ensemble techniques for multiple chaotic models in high-dimensional phase space by means of artificial neural networks. A chaotic model is built by way of the time-delayed phase space reconstruction of the time series from observables. Several predictive global and local models, including Multi-layered Perceptron Neural Network (MLP-NN), are constructed...
This paper describes a new forecasting technique based on multi-model ensemble in high-dimensional chaotic system. A chaotic model is built from the time series reconstruction in the time-delayed high-dimensional phase space. The chaotic model forecasts are made by the adaptive multi-local models constructed based on the dynamical neighbors found in this space. We utilize several different predictive...
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