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- W1618797336 abstract "Abstract Some pulsating post-AGB stars have been observed with an Automatic Photometry Telescope (APT) and a considerable amount of precise photometric data has been accumulated for these stars. The datasets, however, are still sparse, and this is a problem for applying nonlinear time series: for instance, modeling of attractors by the artificial neural networks (NN) to the datasets. We propose the optimization of data interpolations with the genetic algorithm (GA) and the hybrid system combined with NN. We apply this system to the Mackey–Glass equation, and attempt an analysis of the photometric data of post-AGB variables." @default.
- W1618797336 created "2016-06-24" @default.
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- W1618797336 date "2000-01-01" @default.
- W1618797336 modified "2023-09-24" @default.
- W1618797336 title "Nonlinear Time-Series Analysis of Pulsation of Post-AGB Stars by Genetic Algorithm/Neural Network Hybrid Systems" @default.
- W1618797336 doi "https://doi.org/10.1017/s0252921100057419" @default.
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