Verification of novel integrations of swarm intelligence algorithms into deep learning neural network for flood susceptibility mapping-Reference-Cited by-同舟云学术

Verification of novel integrations of swarm intelligence algorithms into deep learning neural network for flood susceptibility mapping

Published:2020-02 Issue: Volume:581 Page:124379
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Bui Quang-Thanh^ORCID,Nguyen Quoc-Huy,Nguyen Xuan Linh,Pham Vu Dong,Nguyen Huu Duy,Pham Van-Manh^ORCID

Funder

Vietnam National Foundation for Science and Technology Development

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference32 articles.

1. Abhishek G Neve, G. M. K. a. O. K. (2017). Application of Grasshopper Optimization Algorithm for Constrained and Unconstrained Test Functions. International Journal of Swarm Intelligence and Evolutionary Computation, 6(3). doi: 10.4172/2090-4908.1000165.

2. Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods;Bui;Scientific Reports,2018

3. Hybrid Artificial Intelligence Approach Based on Neural Fuzzy Inference Model and Metaheuristic Optimization for Flood Susceptibility Modelling in A High-Frequency Tropical Cyclone Area using GIS;Bui;Journal of hydrology,2016

4. Metaheuristic algorithms in optimizing neural network: a comparative study for forest fire susceptibility mapping in Dak Nong;Bui;Vietnam. Geomatics, Natural Hazards and Risk,2019

5. Understanding spatial variations of malaria in Vietnam using remotely sensed data integrated into GIS and machine learning classifiers;Bui;Geocarto International,2019

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