Comparison methods of short term electrical load forecasting
MATEC Web of Conferences, 2018 The supply of electricity that exceeds the load requirement results in the occurrence of electrical power losses. To provide the appropriate power supply to these needs, there must be a plan for the provision of electricity by making prediction or ...
Hartono, Marifa Ahmad Arif, Sadikin M.
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Monopulse forward-looking imaging algorithm based on Levenberg–Marquardt optimisation
The Journal of Engineering, 2019 With precise angle measurement, traditional monopulse techniques for forward-looking imaging can acquire exact angle information of one single target within a radar beam. However, when multiple targets exist in a beam, it is difficult to resolve them. To
Tao Zhou +4 more
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FitSKIRT: genetic algorithms to automatically fit dusty galaxies with a Monte Carlo radiative transfer code [PDF]
, 2012 We present FitSKIRT, a method to efficiently fit radiative transfer models to UV/optical images of dusty galaxies. These images have the advantage that they have better spatial resolution compared to FIR/submm data.
Baes, Maarten +3 more
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An Artificial Neural Network for Predicting Groundnut Yield Using Climatic Data
AgriEngineering, 2023 Groundnut, being a widely consumed oily seed with significant health benefits and appealing sensory profiles, is extensively cultivated in tropical regions worldwide. However, the yield is substantially impacted by the changing climate.
Hirushan Sajindra +4 more
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Prediction of SLM-NiTi transition temperatures based on improved Levenberg–Marquardt algorithm
Journal of Materials Research and Technology, 2021 In this study, we have obtained the corresponding relationship between SLM-NiTi alloy transition temperatures and energy density, and realized the accurate prediction and inverse prediction of SLM process parameters and NiTi alloy transition temperatures.
Zhenglei Yu +12 more
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Neural network training acceleration using NVIDIA CUDA technology for image recognition
Vestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2012 In this paper, an implementation of neural network trained by algorithm based on Levenberg-Marquardt method is presented. Training of neural network increased by almost 9 times using NVIDIA CUDA technology.
Alexander A Fertsev
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, 2009 We report an inter-comparison of some popular algorithms within the artificial neural network domain (viz., Local search algorithms, global search algorithms, higher order algorithms and the hybrid algorithms) by applying them to the standard ...
A. Bora +38 more
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A pH-based pedotransfer function for scaling saturated hydraulic conductivity reduction: improved estimation of hydraulic dynamics in HYDRUS [PDF]
, 2019 Hydraulic conductivity is a key soil property governing agricultural production and is thus an important parameter in hydrologic modeling. The pH scaling factor for saturated hydraulic conductivity (Ks) reduction in the HYDRUS model was reviewed and ...
Ali, Aram +3 more
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Enhancement of Electrical Parameter Extraction from Solar Cells Using a Hybrid Genetic Algorithm with the Levenberg-Marquardt Method [PDF]
E3S Web of ConferencesAccurate modeling and simulation of solar photovoltaic (PV) systems are critical for optimizing their performance and efficiency. This requires precise determination of electrical parameters of solar cells, such as photocurrent (Iph), saturation current (
Herbazi Rachid +2 more
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Efficient computation of capillary-gravity generalized solitary waves [PDF]
, 2016 This paper is devoted to the computation of capillary-gravity solitary waves of the irrotational incompressible Euler equations with free surface. The numerical study is a continuation of a previous work in several points: an alternative formulation of ...
Clamond, Didier +2 more
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