Výsledky vyhľadávania - "Stochastic gradient algorithm"

Distributed Extended Stochastic Gradient Algorithm for Joint Identification of System Parameters and Noise Model Parameters: Distributed extended stochastic gradient algorithm for joint identification of system parameters and noise model parameters

Autori: Die Gan Ren Yan Shuning Chen a ďalší

Zdroj: SIAM Journal on Control and Optimization. 63:650-675

Predmety: distributed identification, ARMAX model, colored noise, Randomized algorithms, Networked control, stochastic gradient algorithm, Stochastic systems in control theory (general), almost sure convergence, System identification, sensor network

Popis súboru: application/xml

Highly Efficient Two-Stage Filtering-Based Maximum Likelihood Stochastic Gradient Algorithm for Multiple-Input Multiple-Output Systems

Autori: Huihui Wang Ximei Liu

Zdroj: Circuits, Systems, and Signal Processing. 44:5608-5639

Convergence analysis of a proximal stochastic gradient algorithm with adaptive sampling for non-convex and non-smooth composite optimization problems

Zdroj: Journal of Nonlinear and Variational Analysis. 9

Line Search Stochastic Gradient Algorithm with A-priori Rule for Monitoring the Control of the Variance

Autori: Giorgia Franchini Federica Porta Valeria Ruggiero a ďalší

Zdroj: Lecture Notes in Computer Science ISBN: 9783031812408

Predmety: adaptive hyper-parameter setting, deep learning, line search strategy, machine learning, stochastic gradient methods, variance condition, adaptive hyper-parameter setting, deep learning, line search strategy, machine learning, stochastic gradient methods, variance condition

Prístupová URL adresa: https://hdl.handle.net/11392/2580170
https://doi.org/10.1007/978-3-031-81241-5_7

A Bias-Correction Decentralized Stochastic Gradient Algorithm with Momentum Acceleration

Autori: Hu, Yuchen Chen, Xi Liu, Weidong a ďalší

Témy: Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing, Mathematics - Optimization and Control, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2501.19082

Identification of a nonlinear rational model based on bias compensated multi-innovation stochastic gradient algorithm

Autori: S. X. Jing R. R. Liu L. Chen

Zdroj: Automatika, Vol 63, Iss 4, Pp 785-792 (2022)
Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije
Volume 63
Issue 4

Predmety: T59.5, Automation, 0209 industrial biotechnology, Control engineering systems. Automatic machinery (General), adaptive modelling, TJ212-225, Nonlinear rational model, 0202 electrical engineering, electronic engineering, information engineering, bias compensation, stochastic gradient algorithm, 02 engineering and technology, parameter estimation

Popis súboru: application/pdf

Prístupová URL adresa: https://doaj.org/article/9c579847d3df43b79066e24d39572826

Fractional Stochastic Gradient Algorithm for Time-Delayed Models With Piece-Wise Linear Input Using Self-Organizing Maps Method

Autori: Jia Tang

Zdroj: IEEE Access, Vol 10, Pp 131053-131060 (2022)

Predmety: 0209 industrial biotechnology, nonlinear model, fractional stochastic gradient algorithm, self-organizing maps, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, System identification, multi-innovation, piece-wise linear, TK1-9971

Prístupová URL adresa: https://doaj.org/article/50b00c500aa5491d9494c9e37117968d

Online Distributed Stochastic Gradient Algorithm for Nonconvex Optimization With Compressed Communication

Autori: Jueyou Li Chaojie Li Jing Fan a ďalší

Zdroj: IEEE Transactions on Automatic Control. 69:936-951

1/t-Polyak Stepsize for the Stochastically Controlled Stochastic Gradient Algorithm

Zdroj: Advances in Applied Mathematics. 13:1008-1017

Improved Redundant Rule-Based Stochastic Gradient Algorithm for Time-Delayed Models Using Lasso Regression

Autori: Hangtao Zhao Lixin Lv Yuejiang Ji

Zdroj: IEEE Access, Vol 10, Pp 3336-3342 (2022)

Predmety: lasso regression, Parameter estimation, 0202 electrical engineering, electronic engineering, information engineering, stochastic gradient algorithm, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, redundant rule, time-delayed model, TK1-9971

Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09663158.pdf
https://doaj.org/article/1bf92502cb384635a54ab371169cdfa2

Parameter identification of vertical plane model for autonomous underwater vehicle based on hierarchical multi-innovation stochastic gradient algorithm

Autori: Yang Liu Longjin Wang Shun An a ďalší

Zdroj: Measurement. 252:117316

Identification Method Based on Improved Hierarchical Multi-innovation Stochastic Gradient Algorithm

Autori: Pan Hui Li Zhengyang

Zdroj: 2023 8th International Conference on Power and Renewable Energy (ICPRE). :148-155

An Adaptive Stochastic Gradient Algorithm Based on FISTA for Convex Optimization.

Autori: Zhai, Yujia Xue, Dan Qi, Rulei a ďalší

Zdroj: Computational Mathematics & Mathematical Physics. Oct2025, Vol. 65 Issue 10, p2342-2361. 20p.

Predmety: *CONVEX programming, *OPTIMIZATION algorithms, *CONSTRAINED optimization, *PROCESS optimization, *EMPIRICAL research

Model transformation based distributed stochastic gradient algorithm for multivariate output-error systems

Autori: Qinyao Liu Feiyan Chen

Zdroj: International Journal of Systems Science. 54:1484-1502

Predmety: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Decomposition‐based over‐parameterization forgetting factor stochastic gradient algorithm for Hammerstein‐Wiener nonlinear systems with non‐uniform sampling: Decomposition-based over-parameterization forgetting factor stochastic gradient algorithm for Hammerstein-Wiener nonlinear systems with non-uniform sampling

Autori: Tasawar Hayat Yongsong Xiao Feng Ding a ďalší

Zdroj: International Journal of Robust and Nonlinear Control. 31:6007-6024

Predmety: Hammerstein-Wiener model, 0209 industrial biotechnology, Estimation and detection in stochastic control theory, over-parameterization, decomposition technique, Nonlinear systems in control theory, 02 engineering and technology, nonlinear system, parameter estimation

Popis súboru: application/xml

Prístupová URL adresa: https://onlinelibrary.wiley.com/doi/10.1002/rnc.5576

Finite Sample and Large Deviations Analysis of Stochastic Gradient Algorithm with Correlated Noise

Autori: Yin, George Krishnamurthy, Vikram

Témy: Computer Science - Machine Learning, Electrical Engineering and Systems Science - Systems and Control, text

URL: http://arxiv.org/abs/2410.08449

ADAPTIVE STOCHASTIC GRADIENT ALGORITHM FOR BLACK BOX MULTI OBJECTIVE LEARNING

Autori: Ye, F Lyu, Y Wang, X a ďalší

Témy: Conference Proceeding

URL: http://hdl.handle.net/10453/185398
12th International Conference on Learning Representations, ICLR 2024

Bias compensated stochastic gradient algorithm for identification of an ARX‐type nonlinear rational model and its application in modeling of the dynamic of the cellular toxicity

Autori: Shaoxue Jing Janice Kiely Richard Luxton

Zdroj: International Journal of Robust and Nonlinear Control. 32:5268-5280

Predmety: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Multierror stochastic gradient algorithm for identification of a Hammerstein system with random noise and its application in the modeling of a continuous stirring tank reactor

Autori: Shaoxue Jing

Zdroj: Optimal Control Applications and Methods. 44:1510-1522

Predmety: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://onlinelibrary.wiley.com/doi/10.1002/oca.2760

Efficient and fast estimation of the geometric median in Hilbert spaces with an averaged stochastic gradient algorithm

Autori: CARDOT, HERVÉ CÉNAC, PEGGY ZITT, PIERRE-ANDRÉ

Zdroj: Bernoulli, 2013 Feb 01. 19(1), 18-43.

Prístupová URL adresa: http://dx.doi.org/10.3150/11-BEJ390