Short-term prediction of the influent quantity time series of wastewater treatment plant based on a chaos neural network model

2007 ◽  
Vol 1 (3) ◽  
pp. 334-338 ◽  
Author(s):  
Xiaodong Li ◽  
Guangming Zeng ◽  
Guohe Huang ◽  
Jianbing Li ◽  
Ru Jiang
Keyword(s):  
Neural Network ◽  
Time Series ◽  
Wastewater Treatment ◽  
Network Model ◽  
Neural Network Model ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Short Term ◽  
Term Prediction ◽  
Short Term Prediction

scholarly journals A neural network model for short term prediction of surface ozone at Pone

MAUSAM ◽  
2021 ◽  
Vol 50 (1) ◽  
pp. 91-98
Author(s):  
P. GUHATHAKURTA
Keyword(s):  
Neural Network ◽  
Air Pollution ◽  
Network Model ◽  
Neural Network Model ◽  
Surface Ozone ◽  
Anthropogenic Activity ◽  
Short Term ◽  
Term Prediction ◽  
The Neural Network ◽  
Short Term Prediction

A new method for short term prediction of air pollution is presented using the neural network technique, Due to increase in industrial and anthropogenic activity, air pollution is a serious subject of concern today, Surface ozone can be considered as a representative of total atmospheric oxidants and of air pollution, A three layer neural network model using the technique of adaptive pattern recognition is developed, The model can predict the mean surface ozone between 12 and 13 hours (hour of maximum concentration), The model can perform well both in training and independent periods, The classical methods of short term modelling are not reliable enough, The method can also be used for short term prediction of other air pollutants.

scholarly journals ANN-Based Short-Term Wastewater Flow Prediction for Better WWTP Control

2010 ◽  
Vol 4 (2) ◽  
pp. 159-162
Author(s):  
Leslaw Plonka ◽  
◽  
Korneliusz Miksch ◽  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Wastewater Treatment ◽  
Control Systems ◽  
Neural Network Model ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Inflow Rate ◽  
Short Term ◽  
Flow Prediction

This paper presents an approach to predict the amount of the wastewater which enters wastewater treatment plant, using artificial neural network. The method presented can be used to give short-term predictions of wastewater inflow-rate. The described neural network model uses a very tiny set of data commonly collected by WWTP control systems.

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