2018
DOI: 10.1007/s40201-018-0297-3
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Prediction of environmental indicators in land leveling using artificial intelligence techniques

Abstract: Results extracted and statistical analysis was performed and RMSE as well as coefficient of determination, R, of the models were determined as a criterion to compare selected models. According to the results, 10-8-3-1, 10-8-2-5-1, 10-5-8-10-1, and 10-6-4-1 MLP network structures were chosen as the best arrangements and were trained using Levenberg-Marquet as NTF. Integrating ANN and imperialist competitive algorithm (ICA-ANN) had better performance in prediction of output parameters in comparison with conventi… Show more

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Cited by 3 publications
(2 citation statements)
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References 22 publications
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“…AI systems could be used to predict future household energy requirements which can help identify inefficiencies, faults, and control future energy use [81]. In addition, AI can contribute to reduced energy consumption in the construction process [102], and improved environmental outcomes in the design [146] and planning process [26].…”
Section: Ai In the Environment Dimension Of Smart Citiesmentioning
confidence: 99%
“…AI systems could be used to predict future household energy requirements which can help identify inefficiencies, faults, and control future energy use [81]. In addition, AI can contribute to reduced energy consumption in the construction process [102], and improved environmental outcomes in the design [146] and planning process [26].…”
Section: Ai In the Environment Dimension Of Smart Citiesmentioning
confidence: 99%
“…It is undeniable that all these solutions lie on the educational plane. The formation of a new philosophy of being, behavioral patterns, mechanisms of sustainable development (Ridho et al, 2018), and the digitalization of society is organized and carried out by people in various fields of activity at all levels of government (Yun, 2018;Alzoubi et al, 2019;Kamal, Adouane, 2020). Their professionalism and value system are the foundation of the future of humanity.…”
Section: Introductionmentioning
confidence: 99%