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检索条件"主题词=Multi expression programming"
33 条 记 录,以下是1-10 订阅
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multi expression programming and interpretable machine learning for determining compressive strength of coral sand aggregate concrete
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MATERIALS TODAY COMMUNICATIONS 2025年 45卷
作者: Ehsan, Kamran Mohamed, Abdinor Hussein Bin Inqiad, Waleed Javed, Muhammad Abdullah Iqbal, Imtiaz Tongji Univ Coll Civil Engn Shanghai 200092 Peoples R China Aston Univ Coll Engn & Phys Sci Aston St Birmingham B4 7ET England Natl Univ Sci & Technol NUST Mil Coll Engn MCE Dept Struct Engn Islamabad 44000 Pakistan
The extensive utilization of natural aggregates in the construction industry can be reduced by replacing them with natural and locally available materials like coral sand aggregate. However, accurately determining the... 详细信息
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Determining ultimate bearing capacity of shallow foundations by using multi expression programming (MEP)
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2022年 第0期115卷
作者: Zhang, Ruiliang Xue, Xinhua Sichuan Univ Coll Water Resource & Hydropower State Key Lab Hydraul & Mt River Engn Chengdu 610065 Peoples R China
This study presents an artificial intelligence approach, namely multi expression programming (MEP), for determining ultimate bearing capacity of shallow foundations on cohesionless soils. Five governing parameters (i.... 详细信息
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Treatment prediction of sugar industry wastewater in moving-bed biofilm reactor using multi expression programming
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DESALINATION AND WATER TREATMENT 2020年 第0期191卷 82-92页
作者: Talebidalouei, M. Mirbagheri, Seyed Ahmad Nakhaei, Pouria KN Toosi Univ Technol Fac Civil Engn Tehran Iran Amirkabir Univ Technol Fac Civil Engn Tehran Iran
Minimizing water consumption and optimizing wastewater treatment of the sugar industry is one of the most water consuming industries that have significant importance. In this research, the advanced treatment of sugar ... 详细信息
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An evolutionary-based predictive soft computing model for the prediction of electricity consumption using multi expression programming
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JOURNAL OF CLEANER PRODUCTION 2021年 283卷 125287-125287页
作者: Fallahpour, Alireza Wong, Kuan Yew Rajoo, Srithar Tian, Guangdong Univ Teknol Malaysia Sch Mech Engn Skudai 81310 Malaysia Univ Teknol Malaysia UTM Ctr Low Carbon Transport Cooperat Imperial Coll London LoCARt Skudai 81310 Malaysia Shandong Univ Sch Mech Engn Jinan Peoples R China Shandong Univ Key Lab High Efficiency & Clean Mech Manufacture Jinan Peoples R China
Proper estimation of electricity consumption is one of the influential factors for sustainability and cleaner production in both developed and developing countries. Many studies have been conducted to present accurate... 详细信息
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Forecasting Strength of CFRP Confined Concrete Using multi expression programming
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MATERIALS 2021年 第23期14卷 7134-7134页
作者: Ilyas, Israr Zafar, Adeel Javed, Muhammad Faisal Farooq, Furqan Aslam, Fahid Musarat, Muhammad Ali Vatin, Nikolai Ivanovich Natl Univ Sci & Technol NUST Dept Struct Engn Mil Coll Engn MCE Islamabad 44000 Pakistan COMSATS Univ Islamabad Dept Civil Engn Abbottabad Campus Abbottabad 22060 Pakistan Cracow Univ Technol Fac Civil Engn 24 Warszawska Str PL-31155 Krakow Poland Prince Sattam bin Abdulaziz Univ Coll Engn Al Kharj Dept Civil Engn Al Kharj 11942 Saudi Arabia Dept Civil & Environm Engn Bandar Seri Iskandar 32610 Perak Malaysia Peter Great St Petersburg Polytech Univ St Petersburg 195291 Russia
This study provides the application of a machine learning-based algorithm approach names "multi expression programming" (MEP) to forecast the compressive strength of carbon fiber-reinforced polymer (CFRP) co... 详细信息
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A novel framework for developing a machine learning-based forecasting model using multi-stage sensitivity analysis to predict the energy consumption of PCM-integrated building
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APPLIED ENERGY 2024年 376卷
作者: Nazir, Kashif Memon, Shazim Ali Saurbayeva, Assemgul Nazarbayev Univ Sch Engn & Digital Sci Dept Civil & Environm Engn Astana Kazakhstan
Accurate machine learning (ML) predictions for the early stages of the building design are crucial to construct energy-efficient buildings utilizing limited resources. Several studies have employed ML methods for ener... 详细信息
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Evaluating the dynamic response and phase angle behavior of SBS-modified asphalt mixtures for enhanced pavement performance
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SCIENTIFIC REPORTS 2024年 第1期14卷 1-26页
作者: Khan, Inamullah Bilal, Muhammad Khaliq, Wasim Khan, Nasir Khahro, Shabir Hussain Memon, Zubair Ahmed Malik, Mohammad Abdul Natl Univ Sci & Technol NUST Natl Inst Transportat NIT Islamabad Pakistan Univ Teknol PETRONAS Dept Civil & Environm Engn Seri Iskandar 32610 Malaysia Prince Sultan Univ Coll Engn Riyadh 11586 Saudi Arabia
Bitumen exhibits viscoelastic properties, showcasing both viscous and elastic behaviors, which are characterized by the phase angle and dynamic modulus. Issues like early fatigue fractures, rutting, and permanent defo... 详细信息
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Predicting compressive strength of hollow concrete prisms using machine learning techniques and explainable artificial intelligence (XAI)
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HELIYON 2024年 第17期10卷 e36841页
作者: Bin Inqiad, Waleed Dumitrascu, Elena Valentina Dobre, Robert Alexandru Khan, Naseer Muhammad Hammood, Abbas Hussein Henedy, Sadiq N. Khan, Rana Muhammad Asad Natl Univ Sci & Technol NUST Mil Coll Engn MCE Islamabad 44000 Pakistan Natl Univ Sci & Technol Politehn Bucharest Fac Automat Control & Comp Sci Comp Dept Bucharest Romania Natl Univ Sci & Technol Politehn Bucharest Elect Technol & Reliabil Dept Bucharest 061071 Romania Natl Univ Sci & Technol NUST Mil Coll Engn MCE Dept Sustainable Adv Geomech Engn Islamabad 44000 Pakistan Middle East Univ MEU Res Unit Amman 11831 Jordan Al Mamoon Univ Coll Dept Comp Tech Engn Baghdad Iraq Mazaya Univ Coll Dept Civil Engn Nasiriya 64001 Iraq Pak Austria Fachhochschule Inst Appl Sci & Technol Haripur Pakistan
The design of masonry structures requires accurate estimation of compressive strength (CS) of hollow concrete masonry prisms. Generally, the CS of masonry prisms is determined by destructive laboratory testing which r... 详细信息
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Predicting 28-day compressive strength of fibre-reinforced self-compacting concrete (FR-SCC) using MEP and GEP
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SCIENTIFIC REPORTS 2024年 第1期14卷 1-21页
作者: Inqiad, Waleed Bin Siddique, Muhammad Shahid Ali, Mujahid Najeh, Taoufik Natl Univ Sci & Technol NUST Mil Coll Engn MCE Islamabad 44000 Pakistan Silesian Univ Tech Fac Transport & Aviat Engn Dept Transport Syst Traff Engn & Logist Krasinskiego 8 St PL-40019 Katowice Poland Lulea Univ Technol Dept Civil Environm & Nat Resources Engn Operat & Maintenance Operat Maintenance & Acoust Lulea Sweden
The utilization of Self-compacting Concrete (SCC) has escalated worldwide due to its superior properties in comparison to normal concrete such as compaction without vibration, increased flowability and segregation res... 详细信息
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Straightforward prediction for air-entry value of compacted soils using machine learning algorithms
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ENGINEERING GEOLOGY 2020年 279卷 105911-105911页
作者: Wang, Han-Lin Yin, Zhen-Yu Zhang, Pin Jin, Yin-Fu Hong Kong Polytech Univ Dept Civil & Environm Engn Kowloon Hung Hom Hong Kong Peoples R China
The straightforward prediction for the air-entry value of compacted soils is practically useful, but the investigation on this issue is scarce. This study presents three alternative straightforward prediction models f... 详细信息
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