A novel problem-solving method by multi-computational optimisation of artificial neural network for modelling and prediction of the flow erosion processes-Reference-Cited by-同舟云学术

A novel problem-solving method by multi-computational optimisation of artificial neural network for modelling and prediction of the flow erosion processes

Published:2024-01-07 Issue:1 Volume:18 Page:
ISSN:1994-2060
Container-title:Engineering Applications of Computational Fluid Mechanics
language:en
Short-container-title:Engineering Applications of Computational Fluid Mechanics

Author:

Moayedi Hossein¹²,Ahmadi Dehrashid Atefeh³⁴,Nguyen Le Binh¹²

Affiliation:

1. Institute of Research and Development, Duy Tan University, Da Nang, Vietnam

2. School of Engineering and Technology, Duy Tan University, Da Nang, Vietnam

3. Faculty of Natural Resources, Department of Climatology, University of Kurdistan, Sanandaj, Iran

4. Member of Department of Zrebar Lake Environmental Research, Kurdistan Studies Institute, University of Kurdistan, Sanandaj, Iran

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/19942060.2023.2300456

Reference81 articles.

1. Predict soil erosion with artificial neural network in Tanakami (Japan);Abdollahzadeh A.;WSEAS Transactions On Computers,2011

2. Novel evolutionary-optimized neural network for predicting landslide susceptibility

3. Mapping erosion susceptibility by a multivariate statistical method: A case study from the Ayvalık region, NW Turkey

4. A comparison of machine learning models for suspended sediment load classification

5. Drought risk assessment: integrating meteorological, hydrological, agricultural and socio-economic factors using ensemble models and geospatial techniques

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