Výsledky vyhľadávania - "gradient-based algorithms"

Yield prediction for crops by gradient-based algorithms Autor Mahesh, Pavithra, Soundrapandiyan, Rajkumar

“…A timely and consistent assessment of crop yield will assist the farmers in improving their income, minimizing losses, and deriving strategic plans in…”
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Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems Autor Beck, A., Teboulle, M.

“…) we have recently introduced. The resulting gradient-based algorithm shares a remarkable simplicity together with a proven global rate of convergence which is significantly better than currently known gradient projections-based methods…”
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Recursive Prediction Error Gradient-Based Algorithms and Framework to Identify PMSM Parameters Online Autor Perera, Aravinda, Nilsen, Roy

“…Real-time acquisition of accurate machine parameters is of significance to achieving high performance in electric drives, particularly targeted for…”
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Scaling-up topology optimization with target stress states via gradient-based algorithms Autor Mauersberger, Michael, Dexl, Florian, Markmiller, Johannes F.C.

“…•Witness specimens are an appropriate measure to qualify additively manufactured parts.•Gradient-based topology optimization was successfully used for target…”
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Reduced-rank gradient-based algorithms for generalized coupled Sylvester matrix equations and its applications Autor Zhang, Huamin

“…In this paper, by constructing an objective function and using the gradient search, full-rank and reduced-rank gradient-based algorithms are suggested for solving generalized coupled Sylvester matrix equations…”
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Prediction of metastatic potential of heterogeneous pancreatic ductal adenocarcinoma through gradient-based algorithms Autor Rema, Parvathy, Ramesh, Aravind, Appukuttan, Murali, Manju, B.R

“…Pancreatic ductal adenocarcinoma carries a dismal prognosis, with five-year survival below 10 % due to late presentation, aggressive nature, and profound…”
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Gradient-based Algorithms for Machine Teaching Autor Wang, Pei, Nagrecha, Kabir, Vasconcelos, Nuno

“…The problem of machine teaching is considered. A new formulation is proposed under the assumption of an optimal student, where optimality is defined in the…”
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Gradient-based algorithms for multi-objective bi-level optimization Autor Yang, Xinmin, Yao, Wei, Yin, Haian, Zeng, Shangzhi, Zhang, Jin

“… To address this issue, we propose a gradient-based algorithm for MOBLO, called gMOBA, which has fewer hyperparameters to tune, making it both simple and efficient…”
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Two hybrid conjugate gradient based algorithms on Riemannian manifolds with adaptive restart strategy for nonconvex optimization problems Autor Jiang, Meixuan, Wang, Yun, Shao, Hu, Wu, Ting, Sun, Weiwei

“…In this paper, we propose two hybrid conjugate gradient algorithms for solving nonconvex optimization problems on Riemannian manifolds. The conjugate parameter…”
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Consensus Control of a Class of Uncertain Nonlinear Multiagent Systems via Gradient-Based Algorithms Autor Li, Ranran, Yang, Guang-Hong

“…This paper is concerned with the distributed optimization problem for a class of minimum-phase nonlinear multiagent systems with second relative degree. The…”
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Single-Loop Projection-Free and Projected Gradient-Based Algorithms for Nonconvex-Concave Saddle Point Problems with Bilevel Structure Autor Ahmadi, Mohammad Mahdi, Yazdandoost Hamedani, Erfan

“…In this paper, we explore a broad class of constrained saddle point problems with a bilevel structure, wherein the upper-level objective function is…”
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Acceleration of Gradient-Based Algorithms for Array Antenna Synthesis With Far-Field or Near-Field Constraints Autor Prado, Daniel R., Vaquero, Alvaro F., Arrebola, Manuel, Pino, Marcos R., Las-Heras, Fernando

“…This paper presents a technique for the acceleration of gradient-based algorithms that employ finite differences in the calculation of the gradient for the optimization of array antennas…”
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Gradient-Based Algorithms With Intermediate Observations in Static and Differential Games Autor Hossain, Mohammad Safayet, Simaan, Marwan A., Qu, Zhihua

“… In this paper, we propose an approach in which each player implements an iterative discrete-time gradient-based algorithm that relies only on intermediate either current or prior observations…”
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Parameter estimation in stock assessment modelling: caveats with gradient-based algorithms Autor Subbey, Sam

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Parameter estimation in stock assessment modelling: caveats with gradient-based algorithms Autor Subbey, Sam

“…Abstract Using simple illustrative examples, this note highlights some of the caveats with gradient-based algorithms…”
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Comparing Neural Style Transfer and Gradient-Based Algorithms in Brushstroke Rendering Tasks Autor Karimov, Artur, Kopets, Ekaterina, Shpilevaya, Tatiana, Katser, Evgenii, Leonov, Sergey, Butusov, Denis

“…Non-photorealistic rendering (NPR) with explicit brushstroke representation is essential for both high-grade imitating of artistic paintings and generating…”
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Combining least-squares and gradient-based algorithms for the identification of a co-current flow heat exchanger Autor Farah, M., Mercère, G., Ouvrard, R., Poinot, T.

“…Because of the high-dimensional nature of partial differential equations (PDEs), identifying accurate models of processes, the behaviour of which is governed…”
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Fast Test Error Rates for Gradient-Based Algorithms on Separable Data Autor Deora, Puneesh, Vasudeva, Bhavya, Sharan, Vatsal, Thrampoulidis, Christos

“…In recent research aimed at understanding the strong generalization performance of simple gradient-based methods on overparameterized models, it has been…”
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An ensemble of differential evolution and Adam for training feed-forward neural networks Autor Xue, Yu, Tong, Yiling, Neri, Ferrante

“…Adam is an adaptive gradient descent approach that is commonly used in back-propagation (BP) algorithms for training feed-forward neural networks (FFNNs)…”
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A comparative evaluation of genetic and gradient-based algorithms applied to aerodynamic optimization Autor Zingg, David W., Nemec, Marian, Pulliam, Thomas H.

“…A genetic algorithm is compared with a gradient-based (adjoint) algorithm in the context of several aerodynamic shape optimization problems. The examples…”
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