Application of Neuro-Fuzzy Techniques in the Estimation of Extreme Events

  • Mrinmoy MajumderEmail author
  • Rabindra Nath Barman


In hydroclimatic science, a hydrologic or climatic event like a flood or rainfall is said to be extreme if its occurrence is rare or the probability of its occurrence is below 5%. Predicting extreme events is a difficult task, and often conceptual models fail to perform optimally while predicting the time and frequency of extreme events. Due to this drawback, scientists are now opting for nature-based algorithms to make predictions about extreme events. The application of neural networks, along with the categorization ability of fuzzy logic, has been found to perform much better than conceptual models. The present study uses the same concept to develop a model that can predict the occurrence and frequency of extreme events with the help of a data set categorized by the application of fuzzy logic.


Extreme events Neuro-fuzzy systems Combinatorial data matrix 


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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.School of Hydro-Informatics EngineeringNational Institute of Technology Agartala, BarjalaJiraniaIndia
  2. 2.Department of Production EngineeringNational Institute of Technology Agartala, BarjalaJiraniaIndia

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