Discharge predicted in compound channels using adaptive neuro-fuzzy inference system (ANFIS)

IF 1.5 Q2 ENGINEERING, MULTIDISCIPLINARY

Open Engineering Pub Date : 2023-01-01 DOI:10.1515/eng-2022-0420

Noor I. Khattab, A. Mohammed, Arwa A. Mala Obaida

引用次数: 1

Abstract

Abstract Some hydraulic structures and phenomena, including compound channels, must be studied in relation to open channel flow. Despite the fact that the primary channel and watersheds share a similar degree of roughness, estimating discharge in composite channels with mainstreams and flood plains has proved tricky. The flow discharge for a compound channel with different roughness in the primary and flood plain channels has been studied, and the results computed experimentally using horizontal division level have been compared with those predicted using dimensional analysis and an adaptive neuro-fuzzy inference system. The results show good agreement between experimental and numerical for discharge calculation according to root-mean-square error, MARE, R 2, SI, and Nash–Sutcliffe efficiency, with a percentage error not exceeding ±5%.

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基于自适应神经模糊推理系统(ANFIS)的复合通道放电预测

一些水工构筑物和水工现象，包括复合水道，必须对明渠水流进行研究。尽管主河道和流域的粗糙程度相似，但估计主河道和洪泛平原复合河道的流量被证明是棘手的。研究了原发平原和洪泛平原河道中不同粗糙度复合河道的流量，并将水平分划水平的实验计算结果与量纲分析和自适应神经模糊推理系统的预测结果进行了比较。结果表明，在均方根误差、MARE、r2、SI和Nash-Sutcliffe效率方面，实验和数值计算结果吻合较好，百分比误差不超过±5%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Open Engineering ENGINEERING, MULTIDISCIPLINARY-

CiteScore

3.90

自引率

0.00%

发文量

审稿时长

30 weeks

期刊介绍： Open Engineering publishes research results of wide interest in emerging interdisciplinary and traditional engineering fields, including: electrical and computer engineering, civil and environmental engineering, mechanical and aerospace engineering, material science and engineering. The journal is designed to facilitate the exchange of innovative and interdisciplinary ideas between researchers from different countries. Open Engineering is a peer-reviewed, English language journal. Researchers from non-English speaking regions are provided with free language correction by scientists who are native speakers. Additionally, each published article is widely promoted to researchers working in the same field.