By Bellie Sivakumar, Ronny Berndtsson
This booklet comprehensively bills the advances in data-based methods for hydrologic modeling and forecasting. 8 significant and preferred ways are chosen, with a bankruptcy for every -- stochastic tools, parameter estimation thoughts, scaling and fractal tools, distant sensing, man made neural networks, evolutionary computing, wavelets, and nonlinear dynamics and chaos tools. those methods are selected to handle a variety of hydrologic process features, approaches, and the linked difficulties. every one of those 8 techniques encompasses a complete evaluation of the basic ideas, their purposes in hydrology, and a dialogue on capability destiny instructions.
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Additional resources for Advances in Data-Based Approaches for Hydrologic Modeling and Forecasting
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