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Relevant bibliographies by topics / GEP EQUATION

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Journal articles

Academic literature on the topic 'GEP EQUATION'

Author: Grafiati

Published: 11 September 2023

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Journal articles on the topic "GEP EQUATION"

1

Salmasi, Farzin, and John Abraham. "Discharge coefficients for ogee weirs including the effects of a sloping upstream face." Water Supply 20, no. 4 (2020): 1493–508. http://dx.doi.org/10.2166/ws.2020.064.

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Abstract Discharge coefficients (C0) for ogee weirs are essential factors for predicting the discharge-head relationship. The present study investigates three influences on the C0: effect of approach depth, weir upstream face slope, and the actual head, which may differ from the design head. This study uses experimental data with multiple non-linear regression techniques and Gene Expression Programming (GEP) models that are applied to introduce practical equations that can be used for design. Results show that the GEP method is superior to the regression analysis for predicting the discharge c

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2

Wang, Leizhi, Qingfang Hu, Yintang Wang, Yong Liu, Lingjie Li, and Tingting Cui. "Regional Calibration of Hargreaves Equation in the Xiliaohe Basin." Journal of Geoscience and Environment Protection 04, no. 07 (2016): 28–36. http://dx.doi.org/10.4236/gep.2016.47004.

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3

Jiang, Huanjun, Ahmed Salih Mohammed, Reza Andasht Kazeroon, and Payam Sarir. "Use of the Gene-Expression Programming Equation and FEM for the High-Strength CFST Columns." Applied Sciences 11, no. 21 (2021): 10468. http://dx.doi.org/10.3390/app112110468.

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The ultimate strength of composite columns is a significant factor for engineers and, therefore, finding a trustworthy and quick method to predict it with a good accuracy is very important. In the previous studies, the gene expression programming (GEP), as a new methodology, was trained and tested for a number of concrete-filled steel tube (CFST) samples and a GEP-based equation was proposed to estimate the ultimate bearing capacity of the CFST columns. In this study, however, the equation is considered to be validated for its results, and to ensure it is clearly capable of predicting the ulti

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4

Onen, Fevzi. "GEP PREDICTION OF SCOUR AROUND A SIDE WEIR IN CURVED CHANNEL." JOURNAL OF ENVIRONMENTAL ENGINEERING AND LANDSCAPE MANAGEMENT 22, no. 3 (2014): 161–70. http://dx.doi.org/10.3846/16486897.2013.865632.

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Side-weirs have been widely used in hydraulic and environmental engineering applications. Side-weir is known as a lateral intake structure, which are significant parts of the distribution channel in irrigation, land drainage, and urban sewerage system, by flow diversion device. Local scour involves the removal of material around piers, abutments, side-weir, spurs, and embankments. Clearwater scour depth based on five dimensional parameters: approach flow velocity (V1/Vc), water head ratio (h1–p)/h1, side-weir length (L/r), side-weir crest height (b/p) and angle of bend θ. The aim of this study

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5

Azaiez, Naima. "Improved Modelling of Soil Loss in El Badalah Basin: Comparing the Performance of the Universal Soil Loss Equation, Revised Universal Soil Loss Equation and Modified Universal Soil Loss Equation Models by Using the Magnetic and Gravimetric Prospection Outcomes." Journal of Geoscience and Environment Protection 09, no. 04 (2021): 50–73. http://dx.doi.org/10.4236/gep.2021.94005.

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6

Ashteyat, Ahmed, Yasmeen T. Obaidat, Yasmin Z. Murad, and Rami Haddad. "COMPRESSIVE STRENGTH PREDICTION OF LIGHTWEIGHT SHORT COLUMNS AT ELEVATED TEMPERATURE USING GENE EXPRESSION PROGRAMING AND ARTIFICIAL NEURAL NETWORK." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 26, no. 2 (2020): 189–99. http://dx.doi.org/10.3846/jcem.2020.11931.

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The experimental behavior of reinforced concrete elements exposed to fire is limited in the literature. Although there are few experimental programs that investigate the behavior of lightweight short columns, there is still a lack of formulation that can accurately predict their ultimate load at elevated temperature. Thus, new equations are proposed in this study to predict the compressive strength of the lightweight short column using Gene Expression Programming (GEP) and Artificial neural networks (ANN). A total of 83 data set is used to establish GEP and ANN models where 70% of the data are

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7

., Hoang Nguyen, Nam Xuan Bui ., Hieu Quang Tran ., and Giang Huong Thi Le. "A novel soft computing model for predicting blast - induced ground vibration in open - pit mines using gene expression programming." Journal of Mining and Earth Sciences 61, no. 5 (2020): 107–16. http://dx.doi.org/10.46326/jmes.ktlt2020.09.

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The efforts of this study are to develop and propose a state - of - the - art model for predicting blast - induced ground vibration in open - pit mines with high accuracy anf ability based on the gene expression programming (GEP) technique. 25 blasts were conducted in the Tan Dong Hiep quarry mines with a total of 83 blasting events that were collected for this study. The GEP method was then applied to develop a non - linear equation for predicting blast - induced ground vibration based on a variety of influential parameters. A traditional empirical equation, namely Sadovski, was also applied

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8

Hajihassani, Mohsen, Shahrum Shah Abdullah, Panagiotis G. Asteris, and Danial Jahed Armaghani. "A Gene Expression Programming Model for Predicting Tunnel Convergence." Applied Sciences 9, no. 21 (2019): 4650. http://dx.doi.org/10.3390/app9214650.

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Underground spaces have become increasingly important in recent decades in metropolises. In this regard, the demand for the use of underground spaces and, consequently, the excavation of these spaces has increased significantly. Excavation of an underground space is accompanied by risks and many uncertainties. Tunnel convergence, as the tendency for reduction of the excavated area due to change in the initial stresses, is frequently observed, in order to monitor the safety of construction and to evaluate the design and performance of the tunnel. This paper presents a model/equation obtained by

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9

Al-Aboodi, Ali H. "ESTIMATION OF MONTHLY MEAN REFERENCE EVAPOTRANSPIRATION USING GENE EXPRESSION PROGRAMMING." Kufa Journal of Engineering 8, no. 1 (2017): 37–50. http://dx.doi.org/10.30572/2018/kje/811189.

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Evapotranspiration is a main component of the water cycle and is important in crop growth. Monthly mean reference evapotranspiration (ETo) is estimated using gene expression programming (GEP) in Basrah City, south of Iraq. Various climatic data, such as air temperature, relative humidity, and wind speed are used as inputs of GEP model to estimate the values of reference evapotranspiration (ETo) given by the FAO-56 (Penman-Monteith equation). Nine input combinations tested with GEP are coded as model No. (1-9). Root relative squared error (RRSE) is taken as fitness function in each of GEP model

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10

Mutakela, Patrick S., Joyce P. Lepetu, Gofaone Rammotokara, Melusi Rampart, and Sarah Assem Ibrahim. "Biomass Prediction Equation for <i>Colophospermum mopane</i> (Mopane) in Botswana." Journal of Geoscience and Environment Protection 11, no. 06 (2023): 1–22. http://dx.doi.org/10.4236/gep.2023.116001.

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