Výsledky vyhľadávania - pseudo-linear regression algorithms

On the bias distribution of pseudo-linear regression algorithms in recursive identification ; Distribution des biais des algorithmes de régression pseudo-linéaire en identification récursive

Autori: Vau, Bernard Bourlès, Henri Exail (iXblue) (Exail (iXblue)) a ďalší

Prispievatelia: Vau, Bernard Bourlès, Henri Exail (iXblue) (Exail (iXblue)) a ďalší

Zdroj: https://hal.science/hal-05349783 ; 2025.

Predmety: [SPI]Engineering Sciences [physics], [MATH]Mathematics [math]

Time: 93

Dostupnosť: https://hal.science/hal-05349783
https://hal.science/hal-05349783v1/document
https://hal.science/hal-05349783v1/file/PLR_bias_JACSP_pour_ArXiv.pdf

Existence of stationary points for pseudo-linear regression identification algorithms

Autori: Phillip A. Regalia Mamadou Mboup Mehdi Ashari

Zdroj: IEEE Transactions on Automatic Control. 44:994-998

Predmety: undermodeling, 0209 industrial biotechnology, adaptive identification, Identification in stochastic control theory, 0202 electrical engineering, electronic engineering, information engineering, pseudo-linear regression algorithms, stationary disturbance, reduced order model, 02 engineering and technology

Popis súboru: application/xml

Prístupová URL adresa: http://www-public.tem-tsp.eu/%7Eregalia/personal/articles/ac-may-99.pdf
https://zbmath.org/1518282
https://doi.org/10.1109/9.763215
http://www-public.tem-tsp.eu/~regalia/personal/articles/ac-may-99.pdf
https://dblp.uni-trier.de/db/journals/tac/tac44.html#RegaliaMA99
https://ieeexplore.ieee.org/document/763215/

Link Adaptation on an Underwater Communications Network Using Machine Learning Algorithms: Boosted Regression Tree Approach

Autori: M.S.M. Alamgir Mst. Najnin Sultana Kyunghi Chang

Zdroj: IEEE Access, Vol 8, Pp 73957-73971 (2020)

Predmety: Boosted regression tree analysis, K-nearest neighbors, link adaptation, machine learning, pseudo-linear discriminant analysis, support vector machine, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/9042325/; https://doaj.org/toc/2169-3536

Prístupová URL adresa: https://doaj.org/article/9aac2e6596be4a1686a739748f6365ee

Improved-RSSI-based indoor localization by using pseudo-linear solution with machine learning algorithms

Autori: M. W. P. Maduranga Valmik Tilwari Ruvan Abeysekera

Zdroj: Journal of Electrical Systems and Information Technology, Vol 11, Iss 1, Pp 1-20 (2024)

Predmety: Internet of Things, Indoor localization, Machine learning, Received signal strength indicator, Artificial intelligence, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Information technology, T58.5-58.64

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2314-7172

Prístupová URL adresa: https://doaj.org/article/294d7a34dfa74ecf9f49d7f39de1ccd8

A Pseudo Linear Regression Algorithm for On-Line Parameter Estimation with Missing Data

Autori: Albertos, Pedro Goodwin, Graham C. Isaksson, Alf

Predmety: Pseudo-linear, Regression, Algorithm, Parameter, Estimation, TECHNOLOGY, Information technology, Automatic control, TEKNIKVETENSKAP, Informationsteknik, Reglerteknik

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-55210

Some remarks on the bias distribution analysis of discrete-time identification algorithms based on pseudo-linear regressions.

Autori: Vau, Bernard Bourlès, Henri

Zdroj: Systems & Control Letters. Sep2018, Vol. 119, p46-51. 6p.

Predmety: *CLOSED loop systems, *SYSTEM identification, *DISCRETE-time systems, *ALGORITHMS, *REGRESSION analysis

On the asymptotic accuracy of pseudo-linear regression algorithms

Autori: Göte Solbrand Torsten Söderström Anders Ahlén a ďalší

Zdroj: International Journal of Control. 39:115-126

Predmety: 0209 industrial biotechnology, 0203 mechanical engineering, 02 engineering and technology

Prístupová URL adresa: http://www.tandfonline.com/doi/ref/10.1080/00207178408933152

On the convergence of pseudo-linear regression algorithms

Autori: Göte Solbrand Torsten Söderström Anders Ahlén a ďalší

Zdroj: International Journal of Control. 41:1429-1444

Predmety: 0209 industrial biotechnology, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Prístupová URL adresa: https://www.tandfonline.com/doi/abs/10.1080/0020718508961207

Identification for Precision Mechatronics: An Auxiliary Model‐Based Hierarchical Refined Instrumental Variable Algorithm.

Autori: Zhang, Chen Liu, Yang Liu, Kaixin a ďalší

Zdroj: International Journal of Robust & Nonlinear Control. Aug2025, Vol. 35 Issue 12, p5026-5042. 17p.

Predmety: *PARAMETER estimation, *MAXIMUM likelihood statistics, *CONTINUOUS time systems, *COMPUTER simulation, *MECHATRONICS

Online identification for output-error models with random time delays based on auxiliary model and recursive expectation maximization algorithm.

Autori: Li, Ronghuan Ma, Junxia Ma, Yujie a ďalší

Zdroj: Digital Signal Processing. Mar2025, Vol. 158, pN.PAG-N.PAG. 1p.

Predmety: *EXPECTATION-maximization algorithms, *ONLINE algorithms, *SIGNAL processing, *REGRESSION analysis, *BATCH processing

On the convergence of pseudo-linear regression algorithms.

Autori: STOICA, PETRE SÖDERSTRÖM, TORSTEN AHLÉN, ANDERS a ďalší

Zdroj: International Journal of Control; Jun1985, Vol. 41 Issue 6, p1429-1444, 16p

On the asymptotic accuracy of pseudo-linear regression algorithms.

Autori: STOICA†, PETRE SODERSTROM†, TORSTEN AHLEN†, ANDERS a ďalší

Zdroj: International Journal of Control; Jan1984, Vol. 39 Issue 1, p115-126, 12p

Improved-RSSI-based indoor localization by using pseudo-linear solution with machine learning algorithms.

Autori: Maduranga, M. W. P. Tilwari, Valmik Abeysekera, Ruvan

Zdroj: Journal of Electrical Systems & Information Technology; 2/17/2024, Vol. 11 Issue 1, p1-20, 20p

Predmety: MACHINE learning, RANDOM forest algorithms, STANDARD deviations, LINEAR systems, LINEAR equations, NONLINEAR systems, WIRELESS Internet

Inverse System Decoupling Control of Composite Cage Rotor Bearingless Induction Motor Based on Support Vector Machine Optimized by Improved Simulated Annealing-Genetic Algorithm

Autori: Chengling Lu Junhui Cheng Qifeng Ding a ďalší

Zdroj: Actuators, Vol 14, Iss 3, p 125 (2025)

Predmety: composite cage rotor bearingless induction motor, improved simulated annealing-genetic algorithm, support vector machine, kernel function, decoupling control, Materials of engineering and construction. Mechanics of materials, TA401-492, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2076-0825/14/3/125; https://doaj.org/toc/2076-0825

Prístupová URL adresa: https://doaj.org/article/cdd64aa2d063446996c3ba0e897ab2d8

Inverse System Decoupling Control of Composite Cage Rotor Bearingless Induction Motor Based on Support Vector Machine Optimized by Improved Simulated Annealing-Genetic Algorithm.

Autori: Lu, Chengling Cheng, Junhui Ding, Qifeng a ďalší

Zdroj: Actuators; Mar2025, Vol. 14 Issue 3, p125, 23p

Predmety: SUPPORT vector machines, KERNEL functions, VECTOR valued functions, MATHEMATICAL models, COUPLINGS (Gearing)

Classical machine learning and artificial neural network (ANN) to predict rejection in weaving industry.

Autori: Ahmed, Toufique

Zdroj: Journal of Electrical Systems & Information Technology; 6/24/2025, Vol. 12 Issue 1, p1-26, 26p

Predmety: MACHINE learning, ARTIFICIAL neural networks, WEAVING, MULTIVARIATE analysis, TEXTILE industry, RANDOM forest algorithms, BOOSTING algorithms

Existence of stationary points for pseudo-linear regression identification algorithms.

Autori: Regalia, Phillip A. Mboup, Mamadou

Zdroj: IEEE Transactions on Automatic Control; May99, Vol. 44 Issue 5, p994, 4p, 1 Diagram

Predmety: REGRESSION analysis, STATIONARY sequences (Mathematics)

Model identification of ventilation air pump utilizing Ridge-momentum regression and Grid-based structure optimization.

Autori: Truong, Cong Toai Phan, Trung Dat Duong, Van Tu a ďalší

Zdroj: Mathematical Biosciences & Engineering; 2025, Vol. 22 Issue 8, p1-19, 19p

Survey of Nonlinear State Estimation Algorithms.

Autori: Pak, Jung Min Zhao, Shunyi Ahn, Choon Ki

Zdroj: International Journal of Control, Automation & Systems; Oct2025, Vol. 23 Issue 10, p2807-2820, 14p

Semiparametric expectile regression for high-dimensional heavy-tailed and heterogeneous data.

Autori: Zhao, Jun Yan, Guan-ao Zhang, Yi

Zdroj: Applied Mathematics: A Journal of Chinese Universities; Mar2025, Vol. 40 Issue 1, p53-77, 25p