A Chaotic Prediction Method to Time Series Data

Bin Sheng Liu; Ying Wang; Xue Ping Hu

doi:10.4028/www.scientific.net/AMR.113-116.1367

Paper Titles

Effect of Environmental Conditions on Nitrate Removal from Groundwater Using Biodenitrification Supported by Biodegradable Snack Ware
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Effect of External Carbon Source on Denitrification in Biofilter at Low Temperature
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Combining Boolean Model with Improved PCA for Analyzing Purified Water Security
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A Chaotic Prediction Method to Time Series Data
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The Dynamic Elastic Modulus and Microstructure Study of High Performance Concrete in Sulfate Environment
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Degradation of Ametryn in Aqueous Solution by Solar/ S-Doped Titanium Dioxide Process
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Study on the Prediction Model of the Proportion of Each Type of Urban Domestic Plastic Waste
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 113-116A Chaotic Prediction Method to Time Series Data

A Chaotic Prediction Method to Time Series Data

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.

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Periodical:

Advanced Materials Research (Volumes 113-116)

Pages:

1367-1370

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.113-116.1367

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Online since:

June 2010

Authors:

Bin Sheng Liu, Ying Wang, Xue Ping Hu

Keywords:

Drinking Water Quality Prediction, Embedding Dimension, Time Delay

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