Results 31 to 40 of about 54,415 (225)
New method for wind potential prediction using recurrent artificial neural networks [PDF]
E3S Web of Conferences, 2021 The aim of the study is to find the right architecture of the NARX neural network, in order to perform the daily prediction of the maximum wind speed of Laayoune city. We relied on the Levenberg-Marquardt optimization algorithm.
Amellas Yousra +4 more
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Direct 3D Tomographic Reconstruction and Phase-Retrieval of Far-Field Coherent Diffraction Patterns [PDF]
, 2019 We present an alternative numerical reconstruction algorithm for direct tomographic reconstruction of a sample refractive indices from the measured intensities of its far-field coherent diffraction patterns.
Andersen, Martin Skovgaard +3 more
core +2 more sources
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
core +4 more sources
Measurement + Control, 2020 In order to improvethe yaw angle accuracy of multi-rotor unmanned aerial vehicle and meet the requirement of autonomous flight, a new calibration and compensation method for magnetometer based on Levenberg–Marquardt algorithm is proposed in this paper. A
Helong Wu +4 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
doaj +3 more sources
, 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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