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- W2034313178 abstract "There are many ways to predict drinking water quality such as neural network, gray model, ARIMA. But the prediction precise is need to improve. This paper proposes a new forecast method according the characteristic of drinking water quality and the evidence showed that the prediction is effectively. So it is able to being used in actual prediction." @default.
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- W2034313178 date "2010-06-01" @default.
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- W2034313178 title "A Chaotic Prediction Method to Time Series Data" @default.
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- W2034313178 doi "https://doi.org/10.4028/www.scientific.net/amr.113-116.1367" @default.
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