نتایج جستجو برای: gene expression programming gep
تعداد نتایج: 1912249 فیلتر نتایج به سال:
An Application of Machine Learning to Estimate and Evaluate the Energy Consumption in an Office Room
There are no exact criteria for the architecture of openings and windows in office buildings order to optimize energy consumption. Due physical limitations this renewable source lack conscious control over its capabilities, amount light entering offices role daylight as a determined by how they constructed. In study, standard room dimensions, which suitable three five employees, compared comput...
Finding relational expressions which exist frequently in one class of data while not in the other class of data is an interesting work. In this paper, a relational expression of this kind is defined as a contrast inequality. Gene Expression Programming (GEP) is powerful to discover relations from data and express them in mathematical level. Hence, it is desirable to apply GEP to such mining tas...
Intrusion detection is the process of monitoring the events occurring in a computer system or network and analyzing them for signs of intrusions, defined as attempts to compromise the confidentiality, integrity, availability, or to bypass the security mechanisms of a computer or network. This paper proposes the development of an Intrusion Detection Program (IDP) which could detect known attack ...
Nowadays, the prediction of river discharge is one of the important issues in hydrology and water resources; the results of daily river discharge pattern could be used in the management of water resources and hydraulic structures and flood prediction. In this research, Gene Expression Programming (GEP), parametric Linear Regression (LR), parametric Nonlinear Regression (NLR) and non-parametric ...
Abstract Local scouring around the piers of a bridge is one major reasons for failure, potentially resulting in heavy losses terms both economy and human life. Prediction accurate depth local difficult task due to many factors that contribute this process, however. The main aim study thus offer new formula prediction pier using modern fine computing modelling technique known as gene expression ...
Abstract The present infrastructure regime being promoted by the United Nations Sustainable Development Goals is such that year 2050, use of cement in production concrete and its general construction activities as to reduce carbon emissions zero must be replaced with net-zero materials. These replacement materials should pozzolanic enough either partially or totally replace conventional footpri...
The flanged, barbell, and rectangular squat reinforced concrete (RC) walls are broadly used in low-rise commercial highway under overpasses. shear strength of is the major design consideration because their smaller aspect ratio. Most current codes or available published literature provide separate sets capacity equations for walls. Also, a substantial scatter exists predicted due to large discr...
The application of ultra-high-performance concrete (UHPC) on top normal-strength (NSC) is a practical rehabilitation approach to maintaining degraded and damaged members. However, successful repair operation consequent adequate performance are very much dependent the ability interface between UHPC NSC present superior bonding under various surface conditions. Consequently, predicting strength b...
Rice (Oryza sativa L.) growth prediction is key for precise rice production. However, the traditional linear forecasting model ineffective under rapidly changing climate conditions. Here we show that rate (Gr) can be well-predicted by artificial intelligence (AI)-based neural networks (ANN) and gene-expression programming (GEP), with accumulated air temperatures based on degree day (GDD). In to...
Abstract This study presents the development of rainfall forecast models using potential climate indices for Kimberley region Western Australia, 100 years and data four stations. Three different modeling techniques: multiple linear regression (MLR), autoregressive moving average with exogenous input (ARIMAX), gene-expression programming (GEP) were applied to develop prediction models. Prelimina...
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