What is it about?
A direct and inverse artificial neural network (ANN and ANNi) approach was developed to predict the chemical oxygen demand (COD) removal during the degradation of alazine and gesaprim commercial herbicides under various experimental conditions.
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Why is it important?
The degradation of alazine and gesaprimcommercial herbicides by sonophotocatalysis process is in general quite complex. However, the developments in artificial neural networks make complex problems to be solved without a mathematical/chemical description of the complex system.
Perspectives
Hence, the best advantage about ANNi methodology is simple in structure and faster convergence to predict optimal parameters.
PhD Alberto Alvarez.Gallegos
Universidad Autonoma del Estado de Morelos
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This page is a summary of: Optimal performance of COD removal during aqueous treatment of alazine and gesaprim commercial herbicides by direct and inverse neural network, Desalination, August 2011, Elsevier,
DOI: 10.1016/j.desal.2011.04.060.
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