Suchergebnisse - Multi-expression based Gene expression programming

Sustainable use of fly-ash: Use of gene-expression programming (GEP) and multi-expression programming (MEP) for forecasting the compressive strength geopolymer concrete von Chu, Hong-Hu, Khan, Mohsin Ali, Javed, Muhammad, Zafar, Adeel, Ijaz Khan, M., Alabduljabbar, Hisham, Qayyum, Sumaira

“… Which has been proficiently used for the manufacture of FA based geopolymer concrete (FGC). To accelerate the usage of FA in building industry, an innovative machine learning techniques namely gene expression programming (GEP …”
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Energy consumption predictions by genetic programming methods for PCM integrated building in the tropical savanna climate zone von Nazir, Kashif, Memon, Shazim Ali, Saurbayeva, Assemgul, Ahmad, Abrar

“… In this research, multi-expression and genetic expression programming were utilized to anticipate the energy consumption of PCM-integrated buildings by taking early-stage design parameters into consideration …”
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Compressive strength of waste-derived cementitious composites using machine learning von Tian, Qiong, Lu, Yijun, Zhou, Ji, Song, Shutong, Yang, Liming, Cheng, Tao, Huang, Jiandong

“… ) of MC-based concrete that contained FA and RHA were built. Gene expression programming (GEP …”
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Comparative study of genetic programming-based algorithms for predicting the compressive strength of concrete at elevated temperature von Alaskar, Abdulaziz, Alfalah, Ghasan, Althoey, Fadi, Abuhussain, Mohammed Awad, Javed, Muhammad Faisal, Deifalla, Ahmed Farouk, Ghamry, Nivin A.

“… ) and multi-expression programming (MEP) provides the accurate prediction of concrete C-S. This article presents the genetic programming-based models …”
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Predicting the compaction characteristics of expansive soils using two genetic programming-based algorithms von Jalal, Fazal E., Xu, Yongfu, Iqbal, Mudassir, Jamhiri, Babak, Javed, Muhammad Faisal

“… •Performance comparison of gene expression programming (GEP) and multi expression programming (MEP …”
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MERGE: A Novel Evolutionary Algorithm Based on Multi Expression Gene Programming von Shucheng Dai, Changjie Tang, Mingfang Zhu, Yu Chen, Peng Chen, Shaojie Qiao, Chuan Li

“… To solve the problem, this paper presents a new evolutionary algorithm named multi expression gene programming (MERGE …”
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Forecasting Strength of CFRP Confined Concrete Using Multi Expression Programming von Ilyas, Israr, Zafar, Adeel, Javed, Muhammad, Farooq, Furqan, Aslam, Fahid, Musarat, Muhammad, Vatin, Nikolai

“… “Multi Expression Programming” (MEP) to forecast the compressive strength of carbon fiber-reinforced polymer (CFRP) confined concrete …”
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An evolutionary-based predictive soft computing model for the prediction of electricity consumption using multi expression programming von Fallahpour, Alireza, Wong, Kuan Yew, Rajoo, Srithar, Tian, Guangdong

“… ) as a soft computing technique, known as Multi Expression Programming (MEP) to predict the electricity consumption of China for the first time based on the data collected from 1991 to 2019 …”
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Forecasting Compressive Strength of RHA Based Concrete Using Multi-Expression Programming von Amin, Muhammad Nasir, Khan, Kaffayatullah, Javed, Muhammad Faisal, Ewais, Dina Yehia Zakaria, Qadir, Muhammad Ghulam, Faraz, Muhammad Iftikhar, Alam, Mir Waqas, Alabdullah, Anas Abdulalim, Imran, Muhammad

“… To encourage the re-use of RHA, this work used multi expression programming (MEP) to construct an empirical model for forecasting the compressive nature of concrete made with RHA (CRHA …”
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Interpretable prediction of chloride ingress in marine concrete using gene and multi-expression programming von Amin, Muhammad Nasir, Khan, Suleman Ayub, Qadir, Muhammad Tahir, Al-Naghi, Ahmed A. Alawi, Bhatti, Abdul Qadir, Althoey, Fadi, Arifeen, Siyab Ul, Imran, Muhammad

“… This research applies linear regression and advanced symbolic machine learning methods, specifically Gene Expression Programming (GEP …”
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Multi Expression Programming Model for Strength Prediction of Fly-Ash-Treated Alkali-Contaminated Soils von Khan, Kaffayatullah, Ashfaq, Mohammed, Iqbal, Mudassir, Khan, Mohsin Ali, Amin, Muhammad Nasir, Shalabi, Faisal I., Faraz, Muhammad Iftikhar, Jalal, Fazal E.

“… %) on the UCSkaolin and UCSBC soils was also studied. Sufficient laboratory test data comprising 384 data points were collected, and multi expression programming (MEP …”
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Development of predictive models for sustainable concrete via genetic programming-based algorithms von Chen, Lingling, Wang, Zhiyuan, Khan, Aftab Ahmad, Khan, Majid, Javed, Muhammad Faisal, Alaskar, Abdulaziz, Eldin, Sayed M.

“… In the present study, gene expression programming (GEP) and multi-expression programming (MEP) are used to generate predictive models for the split tensile strength (STS …”
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Predictive modeling for depth of wear of concrete modified with fly ash: A comparative analysis of genetic programming-based algorithms von Khan, Adil, Khan, Majid, Ali, Mohsin, Khan, Murad, Khan, Asad Ullah, Shakeel, Muhammad, Fawad, Muhammad, Najeh, Taoufik, Gamil, Yaser

“… Therefore, to avoid costly and laborious tests, this study utilized two machine learning methods, including multi-expression programming (MEP …”
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Artificial intelligence-based optimized models for predicting the slump and compressive strength of sustainable alkali-derived concrete von Zou, Baoping, Wang, Yanbing, Nasir Amin, Muhammad, Iftikhar, Bawar, Khan, Kaffayatullah, Ali, Mujahid, Althoey, Fadi

“… •The sensitivity analysis of the database showed the relevance of input parameters.•The resulting prediction models based on empirical equations agreed well with targets …”
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Soft computing models for prediction of bentonite plastic concrete strength von Inqiad, Waleed Bin, Javed, Muhammad Faisal, Onyelowe, Kennedy, Siddique, Muhammad Shahid, Asif, Usama, Alkhattabi, Loai, Aslam, Fahid

“… ) and gene expression programming (GEP) and a boosting-based algorithm known as AdaBoost to predict the 28-day compressive strength …”
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Investigating the feasibility of genetic algorithms in predicting the properties of eco-friendly alkali-based concrete von Jin, Conghe, Qian, Yongjiu, Ayub Khan, Suleman, Ahmad, Waqas, Althoey, Fadi, Saad Alotaibi, Badr, Awad Abuhussain, Mohammed

“… Gene expression programming (GEP) models and multi-expression programming (MEP) models were developed to predict the rheological …”
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Predicting the Oil Well Production Based on Multi Expression Programming von Ma, Xin, Liu, Zhi-bin

“… In this paper the multi expression programming (MEP) method has been employed to build the prediction model for oil well production, combined with the phase space reconstruction technique …”
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Enhancing compressive strength prediction of sustainable concrete using MEP and GEP models with SHAP-based interpretation von George, Sujin, Hussain, Syed Aamir, Alamiery, Ahmed A., Pathan, Mohammad Gulfam, Sabihuddin, Syed, Thakur, Nisha, Majdi, Ali, Smerat, Aseel

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Performing multi-target regression via gene expression programming-based ensemble models von Moyano, Jose M., Reyes, Oscar, Fardoun, Habib M., Ventura, Sebastián

“… •Three multi-target regression ensemble models with different architectures.•Use gene-expression programming to build each member of the ensemble …”
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Interpretable machine learning approaches to assess the compressive strength of metakaolin blended sustainable cement mortar von Khan, Naseer Muhammad, Ma, Liqiang, Inqiad, Waleed Bin, Khan, Muhammad Saud, Iqbal, Imtiaz, Emad, Muhammad Zaka, Alarifi, Saad S.

“… Thus, this study was conducted to develop reliable empirical prediction models to assess CS of MK-based mortar from its mixture proportion using machine learning algorithms like gene expression programming (GEP …”
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