Výsledky vyhledávání - Mini-batch gradient descent optimization algorithm*

Prediction of students’ academic performance using ANN with mini-batch gradient descent and Levenberg-Marquardt optimization algorithms Autor Simanungkalit, F R J, Hanifah, H, Ardaneswari, G, Hariadi, N, Handari, B D

“… In this paper, we use artificial neural networks (ANN) to predict this performance. ANNs with two optimization algorithms, mini-batch gradient descent and Levenberg-Marquardt, are implemented on students…”
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Research on high-precision measuring technology of gear grinder based on the consideration of machine tool thermal error and probe pre-travel error Autor Yang, Yongming, Wang, Zhonghou, Kubo, Aizoh

“…) based on involute property and L300G involute gear measuring principle. Mini-batch gradient descent optimization algorithm (MGDOA…”
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Statistical Analysis of Fixed Mini-Batch Gradient Descent Estimator Autor Qi, Haobo, Wang, Feifei, Wang, Hansheng

“…We study here a fixed mini-batch gradient descent (FMGD) algorithm to solve optimization problems with massive datasets…”
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Congestion avoidance in 6G networks with V Gradient Geocast Routing Protocol Autor Sahoo, Arundhati, Tripathy, Asis Kumar

“…This is a moment of heavy necessity for a dependable internet connection in the modern world, which is used to engage in business dealings, communicate with…”
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Predicting Temperature of Molten Steel in LF-Refining Process Using IF–ZCA–DNN Model Autor Xin, Zi-cheng, Zhang, Jiang-shan, Zhang, Jun-guo, Zheng, Jin, Jin, Yu, Liu, Qing

“…Controlling the temperature of molten steel in ladle furnace (LF)-refining process is one of the main tasks to ensure that the steelmaking-continuous casting…”
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Efficient mini-batch stochastic gradient descent with Centroidal Voronoi Tessellation for PDE-constrained optimization under uncertainty Autor Chen, Liuhong, Xiong, Meixin, Ming, Ju, He, Xiaoming

“… This strategy reduces the error in gradient estimation compared to the conventional mini-batch stochastic gradient descent method…”
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A Mini‐Batch Stochastic Optimization‐Based Adaptive Localization Scheme and Its Implementation in NLS‐i4DVar Autor Zhang, Hongqin, Tian, Xiangjun, Feng, Xiaobing

“…This paper proposes a mini‐batch stochastic optimization‐based adaptive localization scheme for computing the “optimal…”
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Optimization Methods For Large-Scale Machine Learning Autor Gao, Yuan, Li, Jianping, Zhou, Yue, Xiao, Fei, Liu, He

“… Based on the established logistic regression model, the performance and characteristics of three numerical optimization algorithms-random gradient descent, Mini…”
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Mini-batch sample selection strategies for deep learning based speech recognition Autor Dokuz, Yesim, Tufekci, Zekeriya

“…•Deep learning based speech recognition is studied.•4 sample selection strategies are proposed for mini-batch gradient descent…”
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Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting Autor Konecny, Jakub, Liu, Jie, Richtarik, Peter, Takac, Martin

“…We propose mS2GD: a method incorporating a mini-batching scheme for improving the theoretical complexity and practical performance of semi-stochastic gradient descent (S2GD…”
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Online GMM Clustering and Mini-Batch Gradient Descent Based Optimization for Industrial IoT 4.0 Autor Messaoud, Seifeddine, Bradai, Abbas, Moulay, Emmanuel

“…The future fifth-generation (5G) networks are expected to support a huge number of connected devices with various and multitude services having different…”
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Proximal recursive generalized hyper-gradient descent method Autor Zhang, Hao, Lu, Shuxia

“… How to determine the step size for solving composite optimization problems can be a challenge. To address this gap, we propose a recursive gradient descent algorithm using…”
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Low-Complexity Inverse Matrix Mini-Batch Gradient Descent for MIMO Equalization and Precoding Autor Wang, Shihan, Chen, Jienan, Cheng, Qiuyu, Liang, Chentao, Lei, Peizhi

“…) matrix computation increase exponentially. This paper proposes an inverse matrix minibatch gradient descent (IM-MBGD…”
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An Early Stopping-Based Artificial Neural Network Model for Atmospheric Corrosion Prediction of Carbon Steel Autor Hnin Thike, Phyu, Zhao, Zhaoyang, Liu, Peng, Bao, Feihu, Jin, Ying, Shi, Peng

“…) to train multiple ANNs with mini-batch stochastic gradient descent optimization algorithm to facilitate the training…”
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A mini-batch stochastic conjugate gradient algorithm with variance reduction Autor Kou, Caixia, Yang, Han

“…Stochastic gradient descent method is popular for large scale optimization but has slow convergence asymptotically due to the inherent variance…”
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Mini-batch stochastic approximation methods for nonconvex stochastic composite optimization Autor Ghadimi, Saeed, Lan, Guanghui, Zhang, Hongchao

“…) algorithm, in which proper mini-batch of samples are taken at each iteration depending on the total budget of stochastic samples allowed…”
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Random Barzilai–Borwein step size for mini-batch algorithms Autor Yang, Zhuang, Wang, Cheng, Zhang, Zhemin, Li, Jonathan

“… (mini-batch semi-stochastic gradient descent (mS2GD) method), which leads to a new algorithm…”
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Carbon Emission Forecasting Study Based on Influence Factor Mining and Mini-Batch Stochastic Gradient Optimization Autor Yang, Wei, Yuan, Qiheng, Wang, Yongli, Zheng, Fei, Shi, Xin, Li, Yi

“…With the increasing prominence of the global carbon emission problem, the accurate prediction of carbon emissions has become an increasingly urgent need…”
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Mini-batch algorithms with online step size Autor Yang, Zhuang, Wang, Cheng, Zhang, Zhemin, Li, Jonathan

“…Mini-batch algorithms have been proposed as a way to speed-up stochastic optimization methods and good results for mini-batch algorithms have been reported previously…”
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The mini-batch adaptive method of random search (MAMRS) for parameters optimization in the tracking control problem Autor Panteleev, A V, Lobanov, A V

“…The tracking control problem for nonlinear dynamic system linear in control and signal tracked is considered. It is proposed to formalize the tracking problem…”
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