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检索条件"主题词=Gene Expression Programming"
933 条 记 录,以下是431-440 订阅
排序:
GEP-DL4Mol: A Novel Molecular Deep-learning Model Optimization Framework for Boosting Molecular Properties Prediction
GEP-DL4Mol: A Novel Molecular Deep-learning Model Optimizati...
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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
作者: Peng, Yuzhong Zhang, Hao Zhang, Ziqiao Lin, Yanmei Zhou, Shuigeng Qiao, Shaojie Nanning Normal University Guangxi Key Lab of Human-Machine Interaction and Intelligent Decision Nanning China Chinese Academy of Sciences Shenzhen Institute of Advanced Technology Shenzhen China Fudan University Shanghai Key Lab of Intelligent Information Processing Shanghai China Nanning Normal University Undergraduate College Nanning China Chengdu University of Information Technology School of Software Engineering Chengdu China
High-performance molecular property prediction is one of the essential problems in many research fields. Although Deep Learning models (DLMs) have the strong potential to predict molecular property, the search space o... 详细信息
来源: 评论
Yarn Strength Modelling Using Adaptive Neuro-Fuzzy Inference System (ANFIS) and gene expression programming (GEP)
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JOURNAL OF ENGINEERED FIBERS AND FABRICS 2013年 第4期8卷 6-18页
作者: Fallahpour, A. R. Moghassem, A. R. Univ Malaya Fac Engn Dept Mech Engn Kuala Lumpur 50603 Malaysia Islamic Azad Univ Dept Text Engn Qaemshahr Branch Qaemshahr Iran
This study compares capabilities of two different modelling methodologies for predicting breaking strength of rotor spun yarns. Forty eight yarn samples were produced considering variations in three drawing frame para... 详细信息
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Application of artificial intelligence methods to model the effect of grass curing level on spread rate of fires
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ENVIRONMENTAL MODELLING & SOFTWARE 2024年 173卷
作者: Khanmohammadi, Sadegh Cruz, Miguel G. Golafshani, Emadaldin Mohammadi Bai, Yu Arashpour, Mehrdad Monash Univ Dept Civil Engn Melbourne Australia CSIRO GPO Box 1700 Canberra ACT 2601 Australia
Artificial intelligence (AI) enables new approaches to fire behaviour models of operational relevance, including prescribed burns. This is particularly important in modelling of processes that are poorly understood, s... 详细信息
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RETRACTED: Predicting the effects of nanoparticles on compressive strength of ash-based geopolymers by gene expression programming (Retracted Article)
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NEURAL COMPUTING & APPLICATIONS 2013年 第6期23卷 1677-1685页
作者: Nazari, Ali Riahi, Shadi Islamic Azad Univ Dept Mat Sci & Engn Saveh Branch Saveh Iran
In the present work, the effect of SiO2 and Al2O3 nanoparticles on compressive strength of ash-based geopolymers with different mixtures of rice husk ash, fly ash, nanoalumina and nanosilica has been predicted by gene... 详细信息
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Grey-box solution for predicting thermo-mechanical response of rocks
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GEOTHERMICS 2024年 124卷
作者: Nawaz, Muhammad Naqeeb Natl Univ Sci & Technol NUST NUST Inst Civil Engn Islamabad 44000 Pakistan
Evaluating the thermo-mechanical response of rocks under high temperature treatments is crucial for various engineering geology projects. Current predictions of rock thermo-mechanical response rely on simplistic mathe... 详细信息
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Collective of Base Classifiers for Mining Imbalanced Data  22nd
Collective of Base Classifiers for Mining Imbalanced Data
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22nd Annual International Conference on Computational Science (ICCS)
作者: Jedrzejowicz, Joanna Jedrzejowicz, Piotr Univ Gdansk Inst Informat Fac Math Phys & Informat PL-80308 Gdansk Poland Gdynia Maritime Univ Dept Informat Syst PL-81225 Gdynia Poland
Mining imbalanced datasets is a challenging and difficult problem. In this paper we adress it by proposing GEP-NB classifier based on the oversampling technique. It combines two learning methods - gene expression Prog... 详细信息
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An innovative model for predicting the displacement and rotation of column-tree moment connection under fire
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Frontiers of Structural and Civil Engineering 2021年 第1期15卷 194-212页
作者: Mohammad Ali NAGHSH Aydin SHISHEGARAN Behnam KARAMI Timon RABCZUK Arshia SHISHEGARAN Hamed TAGHAVIZADEH Mehdi MORADI Department of Civil Engineering Isfahan University of TechnologyIsfahan 84156-83111Iran School of Civil Engineering School of Civil EngineeringIran University of Science and TechnologyTehran 13114-16846Iran Department of Civil Engineering International Institute of Earthquake Engineering and SeismologyTehran 19539-14453Iran Division of Computational Mechanics Ton Duc Thang UniversityHo Chi Minh CityVietnam Faculty of Civil Engineering Ton Duc Thang UniversityHo Chi Minh CityVietnam Department of Civil Engineering Islamic Azad UniversityTehran 16511-53311Iran Department of Civil Engineering Isfahan UniversityIsfahan 81746-73441Iran
In this study,we carried out nonlinear finite element simulations to predict the performance of a columntree moment connection(CTMC)under fire and static *** also conducted a detailed parameter study based on five inp... 详细信息
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Designing spiking neural models of neurophysiological recordings using gene expression programming
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BMC Neuroscience 2013年 第1期14卷 1-2页
作者: Josafath I Espinosa-Ramos Nareli Cruz-Cortes Roberto A Vazquez Computation Research Center National Polytechnic Institute Mexico City 0738 Mexico Intelligent Systems Group Faculty of Engineering La Salle University Mexico City 06140 Mexico
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Short-term Load Forecasting by Using Improved GEP and Abnormal Load Recognition
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ACM TRANSACTIONS ON INTERNET TECHNOLOGY 2021年 第4期21卷 1–28页
作者: Deng, Song Chen, Fulin Dong, Xia Gao, Guangwei Wu, Xindong Nanjing Univ Posts & Telecommun Nanjing 210023 Jiangsu Peoples R China Hefei Univ Technol Minist Educ Key Lab Knowledge Engn Big Data Hefei 230009 Peoples R China Mininglamp Acad Sci Mininglamp Technol Shanghai 200232 Peoples R China
Load forecasting in short term is very important to economic dispatch and safety assessment of power system. Although existing load forecasting in short-term algorithms have reached required forecast accuracy, most of... 详细信息
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A comparative study of LightGBM, XGBoost, and GEP models in shear strength management of SFRC-SBWS
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STRUCTURES 2024年 61卷
作者: Alshboul, Odey Almasabha, Ghassan Shehadeh, Ali Al-Shboul, Khaled Hashemite Univ Fac Engn Dept Civil Engn POB 330127 Zarqa 13133 Jordan Yarmouk Univ Hijjawi Fac Engn Technol Dept Civil Engn Irbid 21163 Jordan Jordan Univ Sci & Technol Dept Nucl Engn POB 3030 Irbid 22110 Jordan
Steel fiber reinforced concrete (SFRC) was revealed to have superior mechanical properties compared to plain concrete, especially under shear loads. However, Due to a lack of prediction models for SFRC-Slender Beams w... 详细信息
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