Comparative study among different neural net learning algorithms applied to rainfall time series
Open Access
- 18 April 2008
- journal article
- research article
- Published by Wiley in Meteorlogical Applications
- Vol. 15 (2), 273-280
- https://doi.org/10.1002/met.71
Abstract
No abstract availableKeywords
This publication has 34 references indexed in Scilit:
- Feed forward Artificial Neural Network model to predict the average summer-monsoon rainfall in IndiaActa Geophysica, 2007
- Prediction of occurrence and quantity of daily summer monsoon precipitation over Orissa (India)Meteorlogical Applications, 2007
- Power‐law correlations in column ozone over AntarcticaInternational Journal of Remote Sensing, 2005
- Detection and predictive modeling of chaos in finite hydrological time seriesNonlinear Processes in Geophysics, 2005
- Artificial neural network technique for rainfall forecasting applied to the São Paulo regionJournal of Hydrology, 2004
- Is a chaotic multi‐fractal approach for rainfall possible?Hydrological Processes, 2001
- Comparison of short-term rainfall prediction models for real-time flood forecastingJournal of Hydrology, 2000
- New regression model for Indian summer monsoon rainfallArchiv für Meteorologie, Geophysik und Bioklimatologie Serie A, 1995
- Analysis and prediction of chaos in rainfall and stream flow time seriesJournal of Hydrology, 1994
- A synoptic climatology of stream flow and acidityClimate Research, 1993