By Renji Remesan,Jimson Mathew
This booklet explores a brand new realm in data-based modeling with purposes to hydrology. Pursuing a case examine strategy, it offers a rigorous review of cutting-edge enter choice tools at the foundation of specified and complete experimentation and comparative stories that hire rising hybrid strategies for modeling and research. complicated computing bargains a number new concepts for hydrologic modeling with the aid of mathematical and data-based ways like wavelets, neural networks, fuzzy good judgment, and help vector machines. lately laptop learning/artificial intelligence innovations have turn out to be used for time sequence modeling. even though, although preliminary reviews have proven this method of be powerful, there are nonetheless matters approximately their accuracy and skill to make predictions on a specific enter space.
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Hydrological Data Driven Modelling: A Case Study Approach (Earth Systems Data and Models) by Renji Remesan,Jimson Mathew