Modeling the photocatalytic degradation of 1,2-Dihydroxybenzene using Multilayer Perceptron Neural Networks
In this study, the modeling of photocatalytic degradation of 1,2 dihydroxybenzene using a multilayer perceptron neural network has been investigated. The multilayer perceptron neural network which consists of input layer, hidden layer with network configuration of 3, 17, 1 respectively were employed...
محفوظ في:
المؤلفون الرئيسيون: | Alsaffar M.A., Ayodele B.V., Abdel Ghany M.A., Mustapa S.I. |
---|---|
مؤلفون آخرون: | 57210601717 |
التنسيق: | Conference Paper |
منشور في: |
Institute of Physics Publishing
2023
|
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Process intensification of hydrogen production by catalytic steam methane reforming: Performance analysis of multilayer perceptron-artificial neural networks and nonlinear response surface techniques
بواسطة: Ayodele B.V., وآخرون
منشور في: (2023) -
Modeling the effect of process parameters on the photocatalytic degradation of organic pollutants using artificial neural networks
بواسطة: Ayodele B.V., وآخرون
منشور في: (2023) -
Backpropagation neural networks modelling of photocatalytic degradation of organic pollutants using TiO2-based photocatalysts
بواسطة: Ayodele B.V., وآخرون
منشور في: (2023) -
Bio-hydrogen production from the photocatalytic conversion of wastewater: Parametric analysis and data-driven modelling using nonlinear autoregressive with exogeneous input and back-propagated multilayer perceptron neural networks
بواسطة: Kanthasamy, R., وآخرون
منشور في: (2023) -
Artificial Neural Network Modeling of Thermo-catalytic Methane Decomposition for Hydrogen Production
بواسطة: Alsaffar M.A., وآخرون
منشور في: (2023)