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Modular neural network approach for short term flood forecasting a comparative study
2010
International Journal of Advanced Computer Science and Applications
The artificial neural networks (ANNs) have been applied to various hydrologic problems recently. This research demonstrates static neural approach by applying Modular feedforward neural network to rainfall-runoff modeling for the upper area of Wardha River in India. The model is developed by processing online data over time using static modular neural network modeling. Methodologies and techniques for four models are presented in this paper and a comparison of the short term runoff prediction
doi:10.14569/ijacsa.2010.010514
fatcat:e2m7wdfjybdpblxjwqdk5hj4wi