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Prediction on the Seasonal Behavior of Hydrogen Sulfide Using a Neural Network Model
Models to predict seasonal hydrogen sulfide (H(2)S) concentrations were constructed using neural networks. To this end, two types of generalized regression neural networks and radial basis function networks are considered and optimized. The input data for H(2)S were collected from August 2005 to Fal...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
TheScientificWorldJOURNAL
2011
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5720030/ https://www.ncbi.nlm.nih.gov/pubmed/21552763 http://dx.doi.org/10.1100/tsw.2011.95 |