Hydrological flow rate estimation using artificial neural networks: Model development and potential applications-Reference-Cited by-同舟云学术

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Hydrological flow rate estimation using artificial neural networks: Model development and potential applications

Published:2016-12 Issue: Volume:291 Page:373-385
ISSN:0096-3003
Container-title:Applied Mathematics and Computation
language:en
Short-container-title:Applied Mathematics and Computation

Author:

Kostić Srđan,Stojković Milan,Prohaska Stevan

Funder

Ministry of Education, Science and Technological Development

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference50 articles.

1. Artificial neural network regression as a local search heuristic for ensemble strategies in differential evolution;Fister;Nonlinear Dyn.,2016

2. Computational intelligence in sports: challenges and opportunities within a new research domain;Fister;Appl. Math. Comput.,2015

3. Soft computing modeling in landslide susceptibility assessment;Gokceoglu,2012

4. Assessing the factor of safety using an artificial neural network: case studies on landslides in Giresun, Turkey;Gelisli;Environ. Earth Sci.,2015

5. Earthquake prediction in seismogenic areas of the Iberian Peninsula based on computational intelligence;Morales-Esteban;Tectonophysics,2013

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