Suchergebnisse - "Gradient descent algorithm"

An Exact Quantized Decentralized Gradient Descent Algorithm von Reisizadeh, Amirhossein, Mokhtari, Aryan, Hassani, Hamed, Pedarsani, Ramtin

“… We consider the problem of decentralized consensus optimization, where the sum of <inline-formula><tex-math notation="LaTeX">n</tex-math></inline-formula> …”
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XGANDALF – extended gradient descent algorithm for lattice finding von Gevorkov, Yaroslav, Yefanov, Oleksandr, Barty, Anton, White, Thomas A., Mariani, Valerio, Brehm, Wolfgang, Tolstikova, Aleksandra, Grigat, Rolf-Rainer, Chapman, Henry N.

“… Serial crystallography records still diffraction patterns from single, randomly oriented crystals, then merges data from hundreds or thousands of them to form …”
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A stochastic multiple gradient descent algorithm von Mercier, Quentin, Poirion, Fabrice, Désidéri, Jean-Antoine

“… The present method is based on an extension of the classical stochastic gradient algorithm and a deterministic multiobjective algorithm, the Multiple Gradient Descent Algorithm (MGDA …”
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B-Spline Wavelet Neural Network-Based Adaptive Control for Linear Motor-Driven Systems Via a Novel Gradient Descent Algorithm von Liu, Zhitai, Gao, Huijun, Yu, Xinghu, Lin, Weiyang, Qiu, Jianbin, Rodriguez-Andina, Juan J., Qu, Dongsheng

“… This paper proposes a gradient descent (GD) algorithm-based B-Spline wavelet neural network (GDBSWNN) learning adaptive controller for linear motor (LM) …”
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Guided Stochastic Gradient Descent Algorithm for inconsistent datasets von Sharma, Anuraganand

“… Stochastic Gradient Descent (SGD) Algorithm, despite its simplicity, is considered an effective and default standard optimization algorithm for machine …”
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Multi-depth hologram generation using stochastic gradient descent algorithm with complex loss function von Chen, Chun, Lee, Byounghyo, Li, Nan-Nan, Chae, Minseok, Wang, Di, Wang, Qiong-Hua, Lee, Byoungho

“… The stochastic gradient descent (SGD) method is useful in the phase-only hologram optimization process and can achieve a high-quality holographic display …”
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Distributed Gradient Descent Algorithm Robust to an Arbitrary Number of Byzantine Attackers von Cao, Xinyang, Lai, Lifeng

“… Due to the growth of modern dataset size and the desire to harness computing power of multiple machines, there is a recent surge of interest in the design of …”
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Nonsingular Gradient Descent Algorithm for Interval Type-2 Fuzzy Neural Network von Han, Honggui, Sun, Chenxuan, Wu, Xiaolong, Yang, Hongyan, Qiao, Junfei

“… To cope with this problem, a nonsingular gradient descent algorithm (NSGDA) is developed to update IT2FNN in this article …”
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Design of fractional hierarchical gradient descent algorithm for parameter estimation of nonlinear control autoregressive systems von Chaudhary, Naveed Ishtiaq, Raja, Muhammad Asif Zahoor, Khan, Zeshan Aslam, Mehmood, Ammara, Shah, Syed Muslim

“… The trend of developing fractional gradient based iterative adaptive strategies is evolved in the recent years through effectively exploring the fractional and …”
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Phase correction for a distorted orbital angular momentum beam using a Zernike polynomials-based stochastic-parallel-gradient-descent algorithm von Xie, Guodong, Ren, Yongxiong, Huang, Hao, Lavery, Martin P J, Ahmed, Nisar, Yan, Yan, Bao, Changjing, Li, Long, Zhao, Zhe, Cao, Yinwen, Willner, Moshe, Tur, Moshe, Dolinar, Samuel J, Boyd, Robert W, Shapiro, Jeffrey H, Willner, Alan E

“… A stochastic-parallel-gradient-descent algorithm (SPGD) based on Zernike polynomials is proposed to generate the phase correction pattern for a distorted orbital angular momentum (OAM) beam …”
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Optimal stochastic gradient descent algorithm for filtering von Turali, M. Yigit, Koc, Ali T., Kozat, Suleyman S.

“… Stochastic Gradient Descent (SGD) is a fundamental optimization technique in machine learning, due to its efficiency in handling large-scale data. Unlike …”
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Solving Electromagnetic Inverse Problem Using Adaptive Gradient Descent Algorithm von Liu, Lian, Yang, Bo, Zhang, Yi, Xu, Yixian, Peng, Zhong, Wang, Feng

“… The non-linear conjugate gradient (NLCG) algorithm is one of the popular linearized methods used to solve the frequency domain electromagnetic (EM) geophysical …”
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Network Gradient Descent Algorithm for Decentralized Federated Learning von Wu, Shuyuan, Huang, Danyang, Wang, Hansheng

“… We study a fully decentralized federated learning algorithm, which is a novel gradient descent algorithm executed on a communication-based network …”
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A novel block‐coordinate gradient descent algorithm for simultaneous grouped selection of fixed and random effects in joint modeling von Chen, Shuyan, Fang, Zhiqing, Li, Zhong, Liu, Xin

“… Joint models for longitudinal and time‐to‐event data are receiving increasing attention owing to its capability of capturing the possible association between …”
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Event-Triggered Proximal Online Gradient Descent Algorithm for Parameter Estimation von Zhou, Yaoyao, Chen, Gang

“… regularizer, is investigated in this paper. To reduce the communication burden, the event-triggered mechanism is introduced and the novel event-triggered proximal online gradient descent algorithm (EPOGDA) is proposed …”
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A Fuzzy PID-Incorporated Stochastic Gradient Descent Algorithm for Fast and Accurate Latent Factor Analysis von Yuan, Ye, Li, Jinli, Luo, Xin

“… A stochastic gradient descent (SGD) based latent factor analysis (LFA) model can obtain superior performance when performing representation to a …”
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Dual control for autonomous airborne source search with Nesterov accelerated gradient descent: Algorithm and performance analysis von Tan, Guoqiang, Chen, Wen-Hua, Yang, Jun, Tran, Xuan-Toa, Li, Zhongguo

“… Dual Control for Exploitation and Exploration (DCEE) shows promising performance by realizing optimal trade-off between exploitation and exploration under an …”
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Maximum Torque Per Ampere Control for IPMSM Using Gradient Descent Algorithm Based on Measured Speed Harmonics von Lai, Chunyan, Feng, Guodong, Mukherjee, Kaushik, Tjong, Jimi, Kar, Narayan C.

“… This paper proposes a novel gradient descent based maximum torque per ampere (MTPA) control algorithm for interior permanent magnet synchronous machines …”
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Vehicle Sideslip Angle and Road Friction Estimation Using Online Gradient Descent Algorithm von Chen, Wuwei, Tan, Dongkui, Zhao, Linfeng

“… Estimating vehicle sideslip angle and road friction in real time is of great significance for vehicle stability control and intelligent vehicle lateral …”
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An improved stochastic gradient descent algorithm based on Rényi differential privacy von Cheng, XianFu, Yao, YanQing, Zhang, Liying, Liu, Ao, Li, Zhoujun

“… To tackle the privacy‐preserving problems in deep learning tasks, we propose an improved Differential Privacy Stochastic Gradient Descent algorithm, using Simulated Annealing algorithm and Laplace Smooth denoising …”
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