Modeling of activated sludge process using various nonlinear techniques: a comparison study
This paper presents a comparison study between radial basis function neural network (RBFNN), feed forward multilayer perceptron neural network (MLPNN) and adaptive neuro-fuzzy (ANFIS) technique to model the activated sludge process (ASP). All of these techniques are based on the nonlinear autoregres...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/61997/1/NorhalizaAbdWahab2015_ModelingofActivatedSludgeProcessusingVariousNonlinear.pdf |