Gene expression programming and artificial neural network to estimate atmospheric temperature in Tabuk, Saudi Arabia

被引：0

作者：

H. Md. Azamathulla

Upaka Rathnayake

Ahmad Shatnawi

机构：

[1] University of Tabuk,Department of Civil Engineering and Sensor Networks and Cellular Systems (SNCS) Research Center

[2] Sri Lanka Institute of Information Technology,Department of Civil Engineering

[3] University of Tabuk,Department of Civil Engineering

[4] The University of the West Indies,undefined

来源：

Applied Water Science | 2018年 / 8卷

关键词：

Artificial neural network; Atmospheric temperature; Climate change; Gene expression programming; Tabuk;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

共 50 条

[41] COMPRESSIVE STRENGTH PREDICTION OF LIGHTWEIGHT SHORT COLUMNS AT ELEVATED TEMPERATURE USING GENE EXPRESSION PROGRAMING AND ARTIFICIAL NEURAL NETWORK
Ashteyat, Ahmad
Obaidat, Yasmeen T.
Murad, Yasmin Z.
Haddad, Rami
JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT, 2020, 26 (02) : 189 - 199
[42] Artificial Neural Network Predictor for grid-connected solar photovoltaic installations at Atmospheric Temperature
Ehsan, Muhammad R.
Simon, Sishaj P.
Venkateswaran, P. R.
2014 INTERNATIONAL CONFERENCE ON ADVANCES IN GREEN ENERGY (ICAGE), 2014, : 44 - 49
[43] New method to estimate the generalization error of artificial neural network
Li, J.
Han, Z.Z.
Kongzhi Lilun Yu Yinyong/Control Theory and Applications, 2001, 18 (02):
[44] Artificial neural networks versus gene expression programming for estimating reference evapotranspiration in arid climate
Yassin, Mohamed A.
Alazba, A. A.
Mattar, Mohamed A.
AGRICULTURAL WATER MANAGEMENT, 2016, 163 : 110 - 124
[45] Optimization of an artificial neural network to estimate laser ablation efficiency
Yildiz, Fikret
LASER PHYSICS, 2019, 29 (11)
[46] Comparison of the gene expression programming, artificial neural network (ANN), and equivalent Muskingum inflow models in the flood routing of multiple branched rivers
Pashazadeh, Arash
Javan, Mitra
THEORETICAL AND APPLIED CLIMATOLOGY, 2020, 139 (3-4) : 1349 - 1362
[47] Comparison of the gene expression programming, artificial neural network (ANN), and equivalent Muskingum inflow models in the flood routing of multiple branched rivers
Arash Pashazadeh
Mitra Javan
Theoretical and Applied Climatology, 2020, 139 : 1349 - 1362
[48] EPIDEMIOLOGY OF NEURAL TUBE DEFECTS IN KING SALMAN ARMED FORCED HOSPITAL OF TABUK REGION, SAUDI ARABIA BETWEEN 2012-2017
Awadallah, Akram M.
Abdalla, Mohammed A.
Swead, Fatimah A.
Alyami, Marshad H.
Asma, M. Alqahtani
INDO AMERICAN JOURNAL OF PHARMACEUTICAL SCIENCES, 2018, 5 (12): : 16842 - 16846
[49] Use of remote sensing, GIS and groundwater monitoring to estimate artificial groundwater recharge in Riyadh, Saudi Arabia
Alrehaili, Ayman M.
Hussein, M. Tahir
ARABIAN JOURNAL OF GEOSCIENCES, 2012, 5 (06) : 1367 - 1377
[50] Use of remote sensing, GIS and groundwater monitoring to estimate artificial groundwater recharge in Riyadh, Saudi Arabia
Ayman M. Alrehaili
M. Tahir Hussein
Arabian Journal of Geosciences, 2012, 5 : 1367 - 1377

← 1 2 3 4 5 →