Aquifer hydraulic conductivity prediction via coupling model of MCMC-ANN
Journal of Groundwater Science and Engineering, 2021 Grain-size distribution data, as a substitute for measuring hydraulic conductivity (K), has often been used to get K value indirectly. With grain-size distribution data of 150 sets of samples being input data, this study combined the Artificial Neural ...
Chun-lei GUI +3 more
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Development of a Hybrid ANN-evolutionary Algorithms Models to Predict the Froude Number in Open Channel Flows in Modeling of Sediment Transport [PDF]
محیط زیست و مهندسی آب, 2021 The authors unanimously wish to retract this paper because of several incorrect statements and erroneous presentation and copyrights issues of primary data.
Naser Arya azar +2 more
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Design of a new method for detection of occupancy in the smart home using an FBG sensor [PDF]
, 2020 This article introduces a new way of using a fibre Bragg grating (FBG) sensor for detecting the presence and number of occupants in the monitored space in a smart home (SH).
Fajkus, Marcel +3 more
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Forecasting of Energy Production for Photovoltaic Systems Based on ARIMA and ANN Advanced Models
International Journal of Photoenergy, 2021 Accurate forecasting of solar energy is essential for photovoltaic (PV) plants, to facilitate their participation in the energy market and for efficient resource planning.
L. Fara +3 more
semanticscholar +1 more source
Artificial neural network prediction of quantitative structure: Retention relationships of polycyclic aromatic hydocarbons in gas chromatography [PDF]
Journal of the Serbian Chemical Society, 2005 A feed-forward artificial neural network (ANN) model was used to link molecular structures (boiling points, connectivity indices and molecular weights) and retention indices of polycyclic aromatic hydrocarbons (PAHs) in linear temperature- programmed gas
Sremac Snežana +2 more
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Journal of Natural Fibers, 2022 The building sector is one of the most dynamic in terms of energy consumption, consuming about 40% of the world’s energy. This same sector is also responsible for about 1/3 of the world’s greenhouse gas emissions.
Aziz Saaidia +2 more
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Compressive Strength Prediction Using the ANN Method for FRP Confined Rectangular Concrete Columns [PDF]
Journal of Rehabilitation in Civil Engineering, 2019 Fiber Reinforced Polymer (FRP) was extensively employed as external confinement to strengthen the RC structures. Substantial studies were carried out in order to assess a more exact formula for measuring the strength enhancement of such strengthens ...
Yasser Sharifi +2 more
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PSO-ANFIS and ANN Modeling of Propane/Propylene Separation using Cu-BTC Adsorbent
Journal of Chemical and Petroleum Engineering, 2019 In this work, an artificial neural network (ANN) model along with a combination of adaptive neuro-fuzzy inference system (ANFIS) and particle swarm optimization (PSO) i.e.
Sohrab Fathi +3 more
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Applied Sciences, 2020 Ground vibration induced by blasting operations is an important undesirable effect in surface mines and has significant environmental impacts on surrounding areas.
Guichen Li +5 more
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Feasibility of using neural networks to obtain simplified capacity curves for seismic assessment [PDF]
, 2018 The selection of a given method for the seismic vulnerability assessment of buildings is mostly dependent on the scale of the analysis. Results obtained in large-scale studies are usually less accurate than the ones obtained in small-scale studies.
Calvi, Estêvão, Waszczyszyn
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