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Prediction of Missing Flow Records Using Multilayer Perceptron and Coactive Neurofuzzy Inference System
Hydrological data are often missing due to natural disasters, improper operation, limited equipment life, and other factors, which limit hydrological analysis. Therefore, missing data recovery is an essential process in hydrology. This paper investigates the accuracy of artificial neural networks (A...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
2013
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3878814/ https://www.ncbi.nlm.nih.gov/pubmed/24453876 http://dx.doi.org/10.1155/2013/584516 |