Affiliation:
1. Harbin Engineering University
2. Heilongjiang Commercial School
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.
Publisher
Trans Tech Publications, Ltd.
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