Estimation of recompression coefficient of soil using a hybrid ANFIS-PSO machine learning model-Reference-Cited by-同舟云学术

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Estimation of recompression coefficient of soil using a hybrid ANFIS-PSO machine learning model

Published:2023-10 Issue: Volume: Page:
ISSN:2307-1877
Container-title:Journal of Engineering Research
language:en
Short-container-title:Journal of Engineering Research

Author:

Nguyen Manh Duc,Nguyen Dam Duc,Nguyen Hai Ha,Ho Sy An,Nguyen Quang Phuc,Nguyen Thai Linh,Nguyen Cong Dinh,Prakash Indra^ORCID,Le Hiep Van,Pham Binh Thai

Publisher

Elsevier BV

Subject

General Engineering

Reference45 articles.

1. A review on applications of ANN and SVM for building electrical energy consumption forecasting;Ahmad;Renew. Sustain. Energy Rev.,2014

2. Application of hybrid neural fuzzy system (ANFIS) in food processing and technology;Al-Mahasneh;Food Eng. Rev.,2016

3. Support vector regression;Awad;Effic. Learn. Mach.: Theor., Concepts, Appl. Eng. Syst. Des.,2015

4. Regression analysis of soil compressibility;Azzouz;Soils Found.,1976

5. Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling;Chen;Catena,2017

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimation single output with a hybrid of ANFIS and MOPSO_HS;Sakarya University Journal of Computer and Information Sciences;2024-04-30

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