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- W1963118945 abstract "In this paper, we propose a model of neural-network array composed of a number of multilayer perceptrons (MLP) each of which can be automatically trained to recognize the different dynamics of time series data. The proposed array adopts a position-based competitive learning methods that puts members with similar dynamics close to each other. The proposed array model intends to deal effectively with switching dynamics problems and produce a map of the dynamics." @default.
- W1963118945 created "2016-06-24" @default.
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- W1963118945 date "2002-11-13" @default.
- W1963118945 modified "2023-09-26" @default.
- W1963118945 title "Position-based competition learning of neural-networks array" @default.
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- W1963118945 doi "https://doi.org/10.1109/ijcnn.2001.938822" @default.
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