Gradient-Based Optimizer for Parameter Extraction in Photovoltaic Models
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DOI: 10.1109/access.2021.3052153
Abstract: Solar radiation is increasingly used as a clean energy source, and photovoltaic (PV) panels that contain solar cells (SCs) transform solar energy into electricity. The current-voltage characteristics for PV models is nonlinear. Due to a… read more here.
Keywords: based optimizer; gradient based; photovoltaic; parameters scs ... See more keywords
An Efficient Chaotic Gradient-Based Optimizer for Feature Selection
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DOI: 10.1109/access.2022.3143802
Abstract: In many applications, selecting the optimal features is a difficult task. Numerous In optimization problems, e.g., feature selection (FS) problem, have been solved using optimization algorithms. In this paper, the most discriminating features were chosen… read more here.
Keywords: based optimizer; chaotic gradient; gradient based; feature selection ... See more keywords
Itao: A New Iterative Thresholding Algorithm Based Optimizer for Deep Neural Networks
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DOI: 10.1109/access.2022.3222311
Abstract: In this paper, we propose a new iterative thresholding algorithm based optimizer (Itao) for deep neural networks. It is a first-order gradient-based algorithm with Tikhonov regularization for stochastic objective functions. It is fast and straightforward… read more here.
Keywords: neural networks; iterative thresholding; algorithm based; thresholding algorithm ... See more keywords