Predicting the geometry of stable alluvial channels: combination of data mining and meta-heuristic optimization
One of the important topics in river engineering is the design of stable alluvial channel geometry in the regime mode (dynamic balance between erosion and sedimentation) including the width, depth and slope. In this research, the ANFIS and ANFIS-PSO models were used to model the geometry parameters...
Saved in:
| Main Authors: | Fatemeh Lanjabi Sharahi, Seyed Morteza Seyedian, Mahmood Akbari, Ali Heshmatpour |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Shahid Chamran University of Ahvaz
2023-10-01
|
| Series: | Journal of Hydraulic Structures |
| Subjects: | |
| Online Access: | https://jhs.scu.ac.ir/article_18746_3417863f698f502002a6644a63e41dbf.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Prediction and optimization of WEDM parameters for machining of NiTi-shape memory alloy using ANFIS-PSO approach
by: Lokesh Kumar, et al.
Published: (2025-03-01) -
Structural integrity and hybrid ANFIS-PSO modeling of the corrosion rate of ductile irons in different environments
by: Ukoba K., et al.
Published: (2024-07-01) -
Chaos synchronization for a class of uncertain chaotic supply chain and its control by ANFIS
by: Seyed Mohamad Hamidzadeh, et al.
Published: (2023-05-01) -
SISTEM PREDIKSI TINGKAT PENGANGGURAN DI PROVINSI MALUKU MENGGUNAKAN ANFIS (ADAPTIVE NEURO FUZZY INFERENCE SYSTEM)
by: Dorteus Lodewyik Rahakbauw, et al.
Published: (2018-12-01) -
Primena CFD-a i veštačke inteligencije za predikciju sagorelosti i vremena zadržavanja čestica biomase u reaktoru
by: Mileta Žarković, et al.
Published: (2022-03-01)