Výsledky vyhledávání - "least square support vector regression algorithm"

Control Model for Material Removal Depth of Blade Robot Grinding Based on Particle Swarm Optimized Least Square Support Vector Regression Algorithm

Autoři: Zhijian Liang Guang Zhu Lun Li a další

A Novel Adaptive Weighted Least Square Support Vector Regression Algorithm-Based Identification of the Ship Dynamic Model

Autoři: Man Zhu Yuanqiao Wen Wuqiang Sun a další

Zdroj: IEEE Access, Vol 7, Pp 128910-128924 (2019)

Témata: Ship dynamics modeling, least square support vector regression algorithm, 0103 physical sciences, adaptive weight, artificial bee colony algorithm, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, outlier detection, robust 3σ principle, 01 natural sciences, TK1-9971, 0201 civil engineering

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08827492.pdf
https://doaj.org/article/be5422dac2f44c8897bb27222ef08d9c
https://ieeexplore.ieee.org/document/8827492
https://dblp.uni-trier.de/db/journals/access/access7.html#ZhuWSW19

An improved dung beetle optimizer- hybrid kernel least square support vector regression algorithm for state of health estimation of lithium-ion batteries based on variational model decomposition

Autoři: Tao Zhu Shunli Wang Yongcun Fan a další

Zdroj: Energy. 306:132464

Témata: Lithium-ion battery, Improved dung beetle optimizer, Hybrid kernel least square support vector regression, State of health

Přístupová URL adresa: https://rgu-repository.worktribe.com/output/2413973

Evaluation of Landweber Coupled Least Square Support Vector Regression Algorithm for Electrical Capacitance Tomography for LN2–VN2 Flow

Autoři: Ze-Nan Tian Xin-Xin Gao Tao Xia a další

Zdroj: Energies, Vol 16, Iss 22, p 7661 (2023)

Témata: ECT, LSSVR, cryogenic, experiment, algorithm, Technology

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1996-1073/16/22/7661; https://doaj.org/toc/1996-1073

Přístupová URL adresa: https://doaj.org/article/f6f3fe032db74f4b9f374a858c728659

An improved least square support vector regression algorithm for traffic flow forecasting

Autoři: Yingjie Zhou Wang Junfeng Sheng Peng a další

Zdroj: 17th International IEEE Conference on Intelligent Transportation Systems (ITSC). :2379-2384

Témata: 0502 economics and business, 05 social sciences

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/itsc/itsc2014.html#LouZSW14
https://ieeexplore.ieee.org/document/6958071/
https://trid.trb.org/view/1349256

Evaluation of Landweber Coupled Least Square Support Vector Regression Algorithm for Electrical Capacitance Tomography for LN 2 –VN 2 Flow.

Autoři: Tian, Ze-Nan Gao, Xin-Xin Xia, Tao a další

Zdroj: Energies (19961073); Nov2023, Vol. 16 Issue 22, p7661, 17p

Témata: ELECTRICAL capacitance tomography, IMAGE reconstruction algorithms, CRYOGENIC fluids, PHASE space, LEAST squares, ELECTRIC capacity, POROSITY, MAXIMUM power point trackers

Extended State Observer-Based Parameter Identification of Response Model for Autonomous Vessels

Autoři: Man Zhu Wuqiang Sun Yuanqiao Wen a další

Zdroj: Journal of Marine Science and Engineering, Vol 10, Iss 1291, p 1291 (2022)

Témata: autonomous vessels, linear response model, parameter identification, extended state observer (ESO), robust weighted least square support vector regression algorithm (RW-LSSVR), Naval architecture. Shipbuilding. Marine engineering, VM1-989, Oceanography, GC1-1581

Relation: https://www.mdpi.com/2077-1312/10/9/1291; https://doaj.org/toc/2077-1312; https://doaj.org/article/d145103abe2046859ed6596f1a75f22b

Dostupnost: https://doi.org/10.3390/jmse10091291
https://doaj.org/article/d145103abe2046859ed6596f1a75f22b

An improved dung beetle optimizer- hybrid kernel least square support vector regression algorithm for state of health estimation of lithium-ion batteries based on variational model decomposition.

Zdroj: 0360-5442; 1873-6785

Témata: Lithium-ion battery, State of health, Improved dung beetle optimizer, Hybrid kernel least square support vector regression

URL: https://rgu-repository.worktribe.com/file/2413973/1/ZHU%202024%20An%20improved%20dung%20beetle%20optimizer%20%28AAM%29
https://rgu-repository.worktribe.com/output/2413973
https://rgu-repository.worktribe.com/output/2413973

An improved least square support vector regression algorithm for traffic flow forecasting.

Autoři: Wanqiu Lou Yingjie Zhou Peng Sheng a další

Zdroj: 17th International IEEE Conference on Intelligent Transportation Systems (ITSC); 2014, p2379-2384, 6p

Extended State Observer-Based Parameter Identification of Response Model for Autonomous Vessels.

Autoři: Zhu, Man Sun, Wuqiang Wen, Yuanqiao a další

Zdroj: Journal of Marine Science & Engineering; Sep2022, Vol. 10 Issue 9, pN.PAG-N.PAG, 23p

Témata: PATROL boats, LEAST squares, MODEL validation, FREIGHT & freightage, ALGORITHMS

1376. Crack detection in a pipe by adaptive subspace iteration algorithm and least square support vector regression.

Autoři: Youming Wang Qing Wu

Zdroj: Journal of Vibroengineering. Sep2014, Vol. 16 Issue 6, p2800-2812. 13p.

Témata: *PIPE fracture, *SURFACE cracks, *SUPPORT vector machines, *ITERATIVE methods (Mathematics), *FINITE element method, *MATHEMATICAL models

Building a smart hydro-informatics system for flood forecasting and warning, a real case study in atlas region -Kingdom of Morocco-.

Autoři: El Idrissi, Mohammed El Beqqali, Omar Riffi, Jamal

Zdroj: Arabian Journal of Geosciences; Oct2021, Vol. 14 Issue 20, p1-18, 18p

Physics informed neural networks based identification modelling of ship maneuvering motion and associated optimal excitation design.

Autoři: An, Guangshuo Xiang, Gong Xiang, Xianbo a další

Zdroj: Engineering Applications of Computational Fluid Mechanics; Dec2025, Vol. 19 Issue 1, p1-20, 20p

Machine Learning Techniques for Battery State of Health Prediction: A Comparative Review.

Autoři: Mbagaya, Leila Reddy, Kumeshan Botes, Annelize

Zdroj: World Electric Vehicle Journal; Nov2025, Vol. 16 Issue 11, p594, 26p

Témata: LONG short-term memory, LITHIUM-ion batteries, RANDOM forest algorithms, CONVOLUTIONAL neural networks, SUPPORT vector machines, MACHINE learning, BATTERY management systems

A hybrid data-driven method for lithium-ion battery capacity and remaining useful life early prediction.

Autoři: Qi, Fei Tian, Zhongda

Zdroj: Ionics; Oct2025, Vol. 31 Issue 10, p10671-10702, 32p

Unraveling Electrochemical–Thermal Synergy in Lithium-Ion Batteries: A Predictive Framework Based on 3D Modeling and SVAR.

Autoři: Zhou, Xue Wang, Yukun Gao, Bo a další

Zdroj: Applied Sciences (2076-3417); Aug2025, Vol. 15 Issue 16, p9129, 31p

Témata: LITHIUM-ion batteries, TEMPERATURE control, ELECTROCHEMICAL analysis, VECTOR autoregression model, THREE-dimensional modeling, ENERGY storage, FREE energy (Thermodynamics)

Transfer Learning-Based LRCNN for Lithium Battery State of Health Estimation with Small Samples.

Autoři: Xiong, Yuchao Lv, Tiangang Gao, Liya a další

Zdroj: Processes; Jul2025, Vol. 13 Issue 7, p2223, 23p

Témata: LITHIUM cells, FEATURE extraction, ESTIMATION theory, TRANSFER of training, MACHINE learning, STATISTICAL reliability

Coverage optimization in wireless sensor network based on multi-strategy dung beetle optimization algorithm.

Autoři: Chen, Zhilan Cheng, Jiatang He, Meng

Zdroj: Evolutionary Intelligence; Jun2025, Vol. 18 Issue 3, p1-23, 23p

Lithium-Ion Battery State of Health Estimation Based on Feature Reconstruction and Transformer-GRU Parallel Architecture.

Autoři: Chen, Bing Zhang, Yongjun Wu, Jinsong a další

Zdroj: Energies (19961073); Mar2025, Vol. 18 Issue 5, p1236, 19p

Témata: PARALLEL processing, FEATURE extraction, LITHIUM-ion batteries, INDUSTRIAL efficiency, TRANSFORMER models

Robust SVM optimization using PSO and ACO for accurate lithium-ion battery health monitoring.

Autoři: Putra, Mufti Reza Aulia Nizam, Muhammad Mujianto, Agus a další

Zdroj: Mechanical Engineering for Society & Industry; 2025, Vol. 5 Issue 1, p71-80, 10p

Témata: MACHINE learning, ANT algorithms, PARTICLE swarm optimization, STANDARD deviations, SUPPORT vector machines