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- W2047175362 abstract "This paper presents a new method --- the Time-delay Added Evolutionary Forecasting (TAEF) method --- for time series prediction which performs an evolutionary search of the minimum necessary number of dimensions embedded in the problem for determining the characteristic phase space of the time series. The method proposed is inspired in F. Takens theorem and consists of an intelligent hybrid model composed of an artificial neural network (ANN) combined with a modified genetic algorithm (GA). Initially, the TAEF method finds the most fitted predictor model for representing the series and then performs a behavioral statistical test in order to adjust time phase distortions." @default.
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- W2047175362 date "2005-06-25" @default.
- W2047175362 modified "2023-10-14" @default.
- W2047175362 title "A new evolutionary method for time series forecasting" @default.
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- W2047175362 doi "https://doi.org/10.1145/1068009.1068384" @default.
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