Yoshinobu Fukunaga

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We propose an efficient hybrid neural network for chaotic time series prediction. The hybrid neural network is constructed by a traditional feed-forward network, which is learned by using the backpropa-gation and a local model, which is implemented as a time delay embedding. The feed-forward network performs as the global approximation and the local model(More)
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