Downscaling global weather forecast outputs using ANN for flood prediction.

Do Hoai, Nam; Udo, Keiko; Mano, Akira

Displaying similar documents to “Downscaling global weather forecast outputs using ANN for flood prediction.”

A rainfall forecasting method using machine learning models and its application to the Fukuoka city case

S. Monira Sumi, M. Faisal Zaman, Hideo Hirose (2012)

International Journal of Applied Mathematics and Computer Science

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In the present article, an attempt is made to derive optimal data-driven machine learning methods for forecasting an average daily and monthly rainfall of the Fukuoka city in Japan. This comparative study is conducted concentrating on three aspects: modelling inputs, modelling methods and pre-processing techniques. A comparison between linear correlation analysis and average mutual information is made to find an optimal input technique. For the modelling of the rainfall, a novel hybrid...

Hysteresis nonlinearity identification using new Preisach model-based artificial neural network approach.

Zakerzadeh, Mohammad Reza, Firouzi, Mohsen, Sayyaadi, Hassan, Shouraki, Saeed Bagheri (2011)

Journal of Applied Mathematics

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Generalizations of the noisy-or model

Jiří Vomlel (2015)

Kybernetika

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In this paper, we generalize the noisy-or model. The generalizations are three-fold. First, we allow parents to be multivalued ordinal variables. Second, parents can have both positive and negative influences on their common child. Third, we describe how the suggested generalization can be extended to multivalued child variables. The major advantage of our generalizations is that they require only one parameter per parent. We suggest a model learning method and report results of experiments...