Results 21 to 30 of about 29,516 (268)
Improving Parameter Extraction in Photovoltaic Models: The Role of Initialization Methods in Particle Swarm [PDF]
E3S Web of ConferencesThis study investigates the effect of initialization strategies on the performance of Particle Swarm Optimization (PSO) for parameter extraction in photovoltaic (PV) models, specifically the Single Diode Model (SDM) and the Double Diode Model (DDM).
Abazine Ismail +10 more
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A Robust Parallel Initialization Method for Monocular Visual-Inertial SLAM
Sensors, 2022 In order to improve the initialization robustness of visual inertial SLAM, the complementarity of the optical flow method and the feature-based method can be used in vision data processing.
Min Zhong +3 more
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cremerlab/flux_parity: Initialization release
, 2022 This release reflects the state of the GitHub repository when Zenodo tracking was enabled and the first DOI was ...
Griffin Chure
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Mathematics, 2022 Over the past few decades, convolutional neural networks (CNNs) have achieved outstanding results in addressing a broad scope of computer vision problems.
Rogeany Kanza +4 more
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How to initialize your network? Robust initialization for WeightNorm & ResNets [PDF]
, 2019 Residual networks (ResNet) and weight normalization play an important role in various deep learning applications. However, parameter initialization strategies have not been studied previously for weight normalized networks and, in practice ...
Arpit, Devansh +2 more
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Вісник Національного технічного університету «ХПÌ». Серія: Стратегічне управління, управління портфелями, програмами та проектами, 2015 The main factors, influence on the initialization process of innovative projects and programs (IPP) of creating production-processing complexes and cooperatives (PPC) in some rural areas have been analyzed in the article.
Ігор Миколайович ФЛИС
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Acta Informatica Pragensia, 2023 This paper presents two novel deterministic initialization procedures for k-means clustering based on a modified crowding distance. The procedures, named ck-means and fck-means, use more crowded points as initial centroids.
Abdesslem Layeb
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A vortex-implanted initialization scheme for the mesoscale eddy prediction: Idealized experiments
Frontiers in Marine Science, 2022 Mesoscale eddy prediction has been a big challenge to oceanographers and marine environment forecasters. Although the traditional initialization for the prediction, i.e., through assimilating the satellite-derived sea level anomalies (SLA) into a model ...
Yuhang Zhu +8 more
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Solving the linear interval tolerance problem for weight initialization of neural networks
, 2014 Determining good initial conditions for an algorithm used to train a neural network is considered a parameter estimation problem dealing with uncertainty about the initial weights.
Adam, S.P. +3 more
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AxiomsFuzzy C-Means is a clustering algorithm widely used in many applications. However, its computational complexity is very large, which prevents its use for large problem instances.
Joaquín Pérez-Ortega +6 more
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