Backpropagation neural networks modelling of photocatalytic degradation of organic pollutants using TiO2-based photocatalysts
Backpropagation; Catalysts; Chemical industry; Degradation; Ketones; Network architecture; Neural networks; Photocatalysts; Polycyclic aromatic hydrocarbons; Silver compounds; Titanium dioxide; Titanium oxides; Advanced Oxidation Processes; Back propagation artificial neural network (BPANN); Back pr...
Saved in:
| Main Authors: | , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Published: |
John Wiley and Sons Ltd
2023
|
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Backpropagation; Catalysts; Chemical industry; Degradation; Ketones; Network architecture; Neural networks; Photocatalysts; Polycyclic aromatic hydrocarbons; Silver compounds; Titanium dioxide; Titanium oxides; Advanced Oxidation Processes; Back propagation artificial neural network (BPANN); Back propagation neural networks; Methyl blue degradation; Non-linear relationships; Optimized architectures; Photo catalytic degradation; TiO2-based photocatalysts; Organic pollutants; anthraquinone; dye; ferrous gluconate; indole; silver; titanium dioxide; Article; back propagation neural network; chemical oxygen demand; flow rate; leaching; photocatalysis; photodegradation; pollutant; reaction duration (chemistry); ultraviolet radiation; waste water management |
|---|