Keresés
1 találatból megjelenítve: 1-9
Cím: Integration of neural network and fuzzy logic decision making compared with bilayered neural network in the simulation of daily dew point temperature
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Dátum: 2022
Feltöltve: 2022-04-11
(Taylor and Francis Ltd., 2022)
The machine learning method of Adaptive Neuro-Fuzzy Inference System (ANFIS) is proposed as a data-driven technique to model the dew point temperature (DPT). The input patterns, of T min, T max, and T mean, are utilized ...
Cím: Evaluation of time series models in simulating different monthly scales of drought index for improving their forecast accuracy
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Dátum: 2022
Feltöltve: 2023-02-15
(2022)
Drought is regarded as one of the most intangible and creeping natural disasters, which occurs in almost all climates, and its characteristics vary from region to region. The present study aims to investigate the effect ...
Cím: Energetic thermo-physical analysis of MLP-RBF feed-forward neural network compared with RLS Fuzzy to predict CuO/liquid paraffin mixture properties
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Dátum: 2022
Feltöltve: 2023-02-15
(2022)
Dynamic viscosity of novel generated Copper Oxide (CuO)/Liquid Paraffin nanofluids is obtained experimentally for various temperatures and concentrations. To optimize the empirical process and for cost-efficiency, Feed-Forward ...
Cím: Efficacy of applying discontinuous boundary condition on the heat transfer and entropy generation through a slip microchannel equipped with nanofluid
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Dátum: 2022
Feltöltve: 2023-02-15
(2022)
In this study, the laminar nanofluid flow in the microchannel with a discontinuous boundary condition was investigated. Considering the slip condition, heat transfer and entropy generation were studied. Different layouts ...
Cím: Accurate discharge coefficient prediction of streamlined weirs by coupling linear regression and deep convolutional gated recurrent unit
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Dátum: 2022
Feltöltve: 2023-02-15
(2022)
Streamlined weirs, which are a nature-inspired type of weir, have gained tremendous attention among hydraulic engineers, mainly owing to their established performance with high discharge coefficients. Computational fluid ...
Cím: Novel approach for estimation of sediment load in dam reservoir with hybrid intelligent algorithms
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Dátum: 2022
Feltöltve: 2023-02-15
(2022)
Methods: Hence, this paper provides a new hybrid machine learning model called genetic support vector machine and analysis of variance (GSVMA). The analysis of variance (ANOVA) is known as the kernel function for the SVM ...
Cím: Performance improvement of machine learning models via wavelet theory in estimating monthly river streamflow
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Dátum: 2022
Feltöltve: 2023-02-16
(2022)
Detection and Classification of a brain tumor is an important step to better understanding its mechanism. Magnetic Reasoning Imaging (MRI) is an experimental medical imaging technique that helps the radiologist find the ...
Cím: Comparison of the efficacy of particle swarm optimization and stochastic gradient descent algorithms on multi-layer perceptron model to estimate longitudinal dispersion coefficients in natural streams
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Dátum: 2022
Feltöltve: 2023-02-16
(2022)
Union’s General Data Protection Regulation (GDPR). The analysis focuses on the applicability of the ‘data protection by design’ principle during the development of such systems. Because blockchain-based networks are built ...
Cím: Monthly and seasonal hydrological drought forecasting using multiple extreme learning machine models
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Dátum: 2022
Feltöltve: 2023-02-16
(2022)
The present study focused on the development, optimization, and performance evaluation of a harvesting robot for heavyweight agricultural products. The main objective of developing this system is to improve the harvesting ...