Autor: |
Li, Xiaodong, Zeng, Guangming, Huang, Guohe, Li, Jianbing, Jiang, Ru |
Zdroj: |
Frontiers of Environmental Science & Engineering in China; Jul2007, Vol. 1 Issue 3, p334-338, 5p |
Abstrakt: |
By predicting influent quantity, a wastewater treatment plant (WWTP) can be well controlled. The nonlinear dynamic characteristic of WWTP influent quantity time series was analyzed, with the assumption that the series was predictable. Based on this, a short-term forecasting chaos neural network model of WWTP influent quantity was built by phase space reconstruction. Reasonable forecasting results were achieved using this method. [ABSTRACT FROM AUTHOR] |
Databáze: |
Complementary Index |
Externí odkaz: |
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