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Activated sludge 1 Fluidized bed 1 Multilayer perceptron 1 Neural network 1 Neural networks 1 Process state 1 Self-organizing map 1 Self-organizing maps 1 Wastewater treatment 1
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Heikkinen, M. 2 Hiltunen, Y. 2 Liukkonen, M. 2 Heikkinen, T. 1 Hiltunen, T. 1 Hälikkä, E. 1 Kuivalainen, R. 1 Poutiainen, H. 1
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Energy 1 Mathematics and Computers in Simulation (MATCOM) 1
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RePEc 2
Showing 1 - 2 of 2
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Subtraction analysis based on self-organizing maps for an industrial wastewater treatment process
Heikkinen, M.; Poutiainen, H.; Liukkonen, M.; Heikkinen, T. - In: Mathematics and Computers in Simulation (MATCOM) 82 (2011) 3, pp. 450-459
This paper presents an overview of an analysis method based on self-organizing maps (SOM) which was applied to an activated sludge treatment process in a pulp mill. The aim of the study was to determine whether the neural network modeling method could be a useful and time-saving way to analyze...
Persistent link: https://www.econbiz.de/10010751850
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Artificial neural networks for analysis of process states in fluidized bed combustion
Liukkonen, M.; Heikkinen, M.; Hiltunen, T.; Hälikkä, E.; … - In: Energy 36 (2011) 1, pp. 339-347
There are several challenges confronting energy production nowadays, such as increasing the efficiency of combustion processes and at the same time reducing harmful emissions. The latter, however, often necessitates process improvement, which requires knowledge of the behavior of the process. It...
Persistent link: https://www.econbiz.de/10011053134
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