Výsledky vyhledávání - Multi-expression based Gene expression programming*

Predictive modeling for depth of wear of concrete modified with fly ash: A comparative analysis of genetic programming-based algorithms

Autoři: Khan, Adil Khan, Majid Ali, Mohsin a další

Zdroj: Case Studies in Construction Materials. 20

Témata: Fly ash, Abrasion resistance, Gene expression programming, Multi-expression programming, SHAP, Operation and Maintenance Engineering, Drift och underhållsteknik

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-103256
https://doi.org/10.1016/j.cscm.2023.e02744

Analyzing the viability of agro-waste for sustainable concrete: Expression-based formulation and validation of predictive models for strength performance

Autoři: Alsharari Fahad Nassar Roz-Ud-Din Alshammari Talal O. a další

Zdroj: Reviews on Advanced Materials Science, Vol 64, Iss 1, Pp id. 127828-1710 (2025)

Témata: agricultural waste-based concrete, gene and multi expression programming, compressive and tensile strength, Technology, Chemical technology, TP1-1185

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1605-8127

Přístupová URL adresa: https://doaj.org/article/9fda902b68b048d3a0a18e3557c423e8

基于改进的多表达式编程算法的 木材染色配方预测.

Alternate Title: Prediction of Wood Dyeing Formula Based on Improved Multi Expression Programming Algorithm.

Autoři: 管雪梅 张威 杨渠三

Zdroj: Science Technology & Engineering. 2025, Vol. 25 Issue 7, p2865-2873. 9p.

Leveraging waste-based additives and machine learning for sustainable mortar development in construction

Autoři: Zhang Yi Zhang Qizhi Alqurashi Muwaffaq a další

Zdroj: Reviews on Advanced Materials Science, Vol 64, Iss 1, Pp pp. 453-465 (2025)

Témata: rubberized mortar, sustainable construction materials, gene and multi-expression programming, Technology, Chemical technology, TP1-1185

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1605-8127

Přístupová URL adresa: https://doaj.org/article/15430320318c4d499654cdb384df1ade

Development of predictive models for sustainable concrete via genetic programming-based algorithms

Autoři: Lingling Chen Zhiyuan Wang Aftab Ahmad Khan a další

Zdroj: Journal of Materials Research and Technology, Vol 24, Iss , Pp 6391-6410 (2023)

Témata: Waste foundry sand, Gene expression programming, Multi-expression programming, Solid waste, Sustainable construction, Mining engineering. Metallurgy, TN1-997

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S223878542300875X; https://doaj.org/toc/2238-7854

Přístupová URL adresa: https://doaj.org/article/2c19f4157dac4a5783e01fb212c785c8

Sustainable use of fly-ash: Use of gene-expression programming (GEP) and multi-expression programming (MEP) for forecasting the compressive strength geopolymer concrete

Autoři: Hong-Hu Chu Mohsin Ali Khan Muhammad Javed a další

Zdroj: Ain Shams Engineering Journal, Vol 12, Iss 4, Pp 3603-3617 (2021)

Témata: Artificial intelligence (AI), Gene expression programming (GEP), Multi expression programming (MEP), Fly-ash, Waste material, Geopolymer concrete (GPC), Engineering (General). Civil engineering (General), TA1-2040

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2090447921001830; https://doaj.org/toc/2090-4479

Přístupová URL adresa: https://doaj.org/article/5a4058d33bd748e8b41479e25320ab54

Multi-Expression Based Gene Expression Programming

Autoři: Wei Deng Pei He Zhi Huang

Zdroj: Lecture Notes in Electrical Engineering ISBN: 9783642384653

Přístupová URL adresa: https://rd.springer.com/chapter/10.1007/978-3-642-38466-0_49
https://link.springer.com/chapter/10.1007/978-3-642-38466-0_49/fulltext.html
https://link.springer.com/chapter/10.1007%2F978-3-642-38466-0_49

Intelligent prediction modeling for flexural capacity of FRP-strengthened reinforced concrete beams using machine learning algorithms

Autoři: Khan, Majid Khan, Adil Khan, Asad Ullah a další

Zdroj: Heliyon. 10(1)

Témata: Fiber-reinforced polymers, Flexural capacity, Machine learning, Gene expression programming, Multi-expression programming, Operation and Maintenance Engineering, Drift och underhållsteknik

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-103262
https://doi.org/10.1016/j.heliyon.2023.e23375

MERGE: A Novel Evolutionary Algorithm Based on Multi Expression Gene Programming

Autoři: Shucheng Dai Yu Chen Mingfang Zhu a další

Zdroj: 2008 Fourth International Conference on Natural Computation. :320-324

Témata: 0301 basic medicine, 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: http://teacher.scu.edu.cn/ftp_teacher0/chjtang/paper_doc/2008/Daishucheng-MERGE-ICNC2008.pdf
https://dblp.uni-trier.de/db/conf/icnc/icnc2008-1.html#DaiTZCCQL08
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004666862
https://ieeexplore.ieee.org/document/4666862/

Sustainable use of fly-ash: Use of gene-expression programming (GEP) and multi-expression programming (MEP) for forecasting the compressive strength geopolymer concrete.

Autoři: Chu, Hong-Hu Khan, Mohsin Ali Javed, Muhammad a další

Zdroj: Ain Shams Engineering Journal. Dec2021, Vol. 12 Issue 4, p3603-3617. 15p.

Témata: Compressive strength, Thermal coal, Nonlinear regression, Forecasting, Concrete, Soluble glass

Predicting the Oil Well Production Based on Multi Expression Programming

Autoři: Xin Ma Zhibin Liu

Zdroj: The Open Petroleum Engineering Journal. 9:21-32

Témata: 2. Zero hunger, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0204 chemical engineering

Přístupová URL adresa: http://benthamopen.com/contents/pdf/TOPEJ/TOPEJ-9-21.pdf
https://openpetroleumengineeringjournal.com/VOLUME/9/PAGE/21/PDF/
https://openpetroleumengineeringjournal.com/VOLUME/9/PAGE/21/FULLTEXT/
https://benthamopen.com/FULLTEXT/TOPEJ-9-21

An evolutionary-based predictive soft computing model for the prediction of electricity consumption using multi expression programming

Autoři: Alireza Fallahpour Kuan Yew Wong Srithar Rajoo a další

Zdroj: Journal of Cleaner Production. 283:125287

Témata: 13. Climate action, 11. Sustainability, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, TJ Mechanical engineering and machinery, 02 engineering and technology, 7. Clean energy, 12. Responsible consumption

Přístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S0959652620353324

Compressive strength of waste-derived cementitious composites using machine learning

Autoři: Tian Qiong Lu Yijun Zhou Ji a další

Zdroj: Reviews on Advanced Materials Science, Vol 63, Iss 1, Pp id. 126-573 (2024)

Témata: marble cement, gene expression programming, multi-expression programming, Technology, Chemical technology, TP1-1185

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1605-8127

Přístupová URL adresa: https://doaj.org/article/997426993f224dc48c30f0fa368790e8

Gene expression programming for logic circuit design

Autoři: Masimula, Steven Mandla

Thesis Advisors: Hardy, Yorick,1976

Témata: Logic circuit design, Genetic algorithms, Genetic programming, Gene expression programming, Multi expression programming, Improved gene expression programming, Improved multi expression programming, Cartesian genetic programming, Automatically defined function, Multi-expression based Gene expression programming, 621.3950285, Gene expression, Logic circuits, Computer-aided design, Algorithms, Computer programs, Design and construction

Popis souboru: 1 online resource (viii, 57 leaves) ; illustrations, graphs

Dostupnost: http://hdl.handle.net/10500/23617

Interpretable machine learning approaches to assess the compressive strength of metakaolin blended sustainable cement mortar

Autoři: Naseer Muhammad Khan Liqiang Ma Waleed Bin Inqiad a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-30 (2025)

Témata: Cement mortar, Metakaolin, Interpretable machine learning, Gene expression programming, Compressive strength, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/ff0bd2103a1e4aa78aa218bf12e51a80

Prediction of Pile Setup for Driven Pipe Piles in Fine-Grained Soils Using Gene Expression Programming.

Autoři: Alzahrani, Saeed Bilgin, Ömer

Zdroj: Geotechnical & Geological Engineering; Aug2023, Vol. 41 Issue 6, p3605-3624, 20p

Témata: GENE expression, MULTIPLE regression analysis, DYNAMIC loads, SOILS, STEEL pipe, SOIL dynamics

Predictive modeling for durability characteristics of blended cement concrete utilizing machine learning algorithms

Autoři: Bo Fu Hua Lei Irfan Ullah a další

Zdroj: Case Studies in Construction Materials, Vol 22, Iss , Pp e04209- (2025)

Témata: Blended cement concrete, Machine learning, Gene expression programming, Multiple expression programming, Materials of engineering and construction. Mechanics of materials, TA401-492

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2214509525000087; https://doaj.org/toc/2214-5095

Přístupová URL adresa: https://doaj.org/article/a32d71e404fc44c5b9e2ab5e2980dec7

Gene Expression Analysis to Predict Patient Response to Chemotherapy.

Autoři: Judijanto, Loso Amin, Rafiullah Zahir, Roya

Zdroj: Journal of Biomedical & Techno Nanomaterials; Feb2025, Vol. 2 Issue 1, p34-44, 11p

Prediction of Enhanced Soil–Anchored Geogrid Interactions in Direct Shear Mode Using Gene Expression Programming.

Autoři: Abdi, Mahmood Reza Nakhaei, Pouria Safdari Seh Gonbad, Mahdi

Zdroj: Geotechnical & Geological Engineering; Feb2021, Vol. 39 Issue 2, p957-972, 16p

Témata: GENE expression, REINFORCED soils, SOIL structure, COST estimates, SENSITIVITY analysis, SHEAR strength of soils, SOIL sampling

Comparative study of genetic programming-based algorithms for predicting the compressive strength of concrete at elevated temperature

Autoři: Abdulaziz Alaskar Ghasan Alfalah Fadi Althoey a další

Zdroj: Case Studies in Construction Materials, Vol 18, Iss , Pp e02199- (2023)

Témata: Materials of engineering and construction. Mechanics of materials, TA401-492

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2214509523003790; https://doaj.org/toc/2214-5095

Přístupová URL adresa: https://doaj.org/article/1850e4dd4c544198bcae75b1cc99e123