DENOISING- JITTERING DATA PRE-PROCESSING TECHNIQUE TO IMPROVE ARTIFICIAL INTELLIGENCE BASED RAINFALL- RUNOFF MODELING
Successful modeling of hydro-environmental processes widely rel ies on quantity and quality of accessible data and noisy data might effect on the f unctioning of the modeling. On the other hand in training phase of any Artificial Intelligence (AI) based model, each training data set...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Paraiba
2017-01-01
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| Series: | Journal of Urban and Environmental Engineering |
| Online Access: | http://www.redalyc.org/articulo.oa?id=283253419013 |