منابع مشابه
Predicting Chaotic Time Series by Reinforcement Learning
Although a large number of researches have been carried out into the analysis of nonlinear phenomena, little is reported about using reinforcement learning, which is widely used in artificial intelligent, intelligent control, and other fields. Here, we consider the problem of chaotic time series using a self-organized fuzzy neural network and reinforcement learning, in particular, a learning al...
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Assuming a good embedding and additive noise, the traditional approach to time-series embedding prediction has been to predict pointwise by (usually linear) regression of the k-nearest neighbors; no good mathematics has been previously developed to appropriately select the model (where to truncate Taylor’s series) to balance the conflict between noise fluctuations of a small k, and large k data...
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ژورنال
عنوان ژورنال: Physical Review Letters
سال: 1987
ISSN: 0031-9007
DOI: 10.1103/physrevlett.59.845