Search Results - 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

Authors: Zhijian Liang Guang Zhu Lun Li et al.

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

Authors: Tao Zhu Shunli Wang Yongcun Fan et al.

Source: Energy. 306:132464

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

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

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

Authors: Man Zhu Yuanqiao Wen Wuqiang Sun et al.

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

Subject Terms: 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

Access URL: 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

The Integration of Nature-Inspired Algorithms with Least Square Support Vector Regression Models: Application to Modeling River Dissolved Oxygen Concentration

Authors: Yaseen, Zaher Mundher Ehteram, Mohammad Sharafati, Ahmad et al.

Source: Water. 10(9)

Subject Terms: Soil Mechanics, Geoteknik

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70548
https://doi.org/10.3390/w10091124

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

Authors: Ze-Nan Tian Xin-Xin Gao Tao Xia et al.

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

Subject Terms: ECT, LSSVR, cryogenic, experiment, algorithm, Technology

File Description: electronic resource

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

Access URL: https://doaj.org/article/f6f3fe032db74f4b9f374a858c728659

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

Authors: Yingjie Zhou Wang Junfeng Sheng Peng et al.

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

Subject Terms: 0502 economics and business, 05 social sciences

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

An application of least square support vector machine model with parameters optimization for predicting body weight of Harnai sheep breed.

Authors: IQBAL, Farhat RAZIQ, Abdul HUMA, Zil E. et al.

Source: Turkish Journal of Veterinary & Animal Sciences. 2021, Vol. 45 Issue 4, p716-725. 10p.

Subjects: Support vector machines, Sheep breeding, Least squares, Body weight, Artificial neural networks

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

Authors: Tian, Ze-Nan Gao, Xin-Xin Xia, Tao et al.

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

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

A grey seasonal least square support vector regression model for time series forecasting.

Authors: Zhou, Weijie Cheng, Yuke Ding, Song et al.

Source: ISA Transactions. Aug2021, Vol. 114, p82-98. 17p.

Subject Terms: Time series analysis, Least squares, Regression analysis, Dummy variables, Forecasting, Vector error-correction models

Geographic Terms: China

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

Authors: Wang, Youming Wu, Qing

Source: Journal of Vibroengineering, Vol. 16, Issue 6, 2014, p. 2800-2812.; 1392-8716; 2538-8460

Index Terms: pipe crack, multiwavelet, adaptive subspace iteration algorithm, least square support vector regression algorithm, Research article

URL: https://www.extrica.com/article/15057

An adaptive fuzzy predictive control of nonlinear processes based on Multi-Kernel least squares support vector regression.

Authors: Boulkaibet, I. Belarbi, K. Bououden, S. et al.

Source: Applied Soft Computing. Dec2018, Vol. 73, p572-590. 19p.

Subject Terms: Adaptive fuzzy control, Adaptive control systems, Least squares, Support vector machines, Back propagation

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

Authors: Youming Wang Qing Wu

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

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

Using least square support vector regression with genetic algorithm to forecast beta systematic risk.

Authors: Yuan, Fong-Ching Lee, Chao-Hui

Source: Journal of Computational Science. Nov2015, Vol. 11, p26-33. 8p.

Subject Terms: Least squares, Support vector machines, Regression analysis, Genetic algorithms, Capital assets pricing model, Corporate finance, Investments

Online monitoring and control of particle size in the grinding process using least square support vector regression and resilient back propagation neural network.

Authors: Pani, Ajaya Kumar Mohanta, Hare Krishna

Source: ISA Transactions. May2015, Vol. 56, p206-221. 16p.

Subject Terms: Online monitoring systems, Particle size determination, Grinding & polishing, Least squares, Support vector machines, Back propagation, Artificial neural networks

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.

Source: 0360-5442; 1873-6785

Index Terms: 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

Intelligent Quality Prediction Using Weighted Least Square Support Vector Regression

Authors: Yu, Yaojun¹

Source: Physics Procedia. Feb2012 Part B, Vol. 24, p1392-1399. 8p.

Subject Terms: Prediction models, Quality control, Least squares, Support vector machines, Regression analysis, Machine learning, Batch processing

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

Authors: Man Zhu Wuqiang Sun Yuanqiao Wen et al.

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

Subject Terms: 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

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

Settlement Prediction for Concrete Face Rockfill Dams Considering Major Factor Mining Based on the HHO-VMD-LSTM-SVR Model.

Authors: Zheng, Xueqin Ren, Taozhe Lv, Fengying et al.

Source: Water (20734441); Jun2024, Vol. 16 Issue 12, p1643, 23p

Subject Terms: EARTH dams, DAM safety, CONCRETE, CONCRETE slabs, CRACKING of concrete, DAM failures, CONCRETE dams, PARTIAL least squares regression

Optimized support vector regression algorithm-based modeling of ship dynamics

Authors: Zhu, Man

Index Terms: Computer science, internet, Thesis, NonPeerReviewed

URL: http://oops.uni-oldenburg.de/3950/1/zhuopt18.pdf
http://oops.uni-oldenburg.de/3950/
http://oops.uni-oldenburg.de/3950

PROGRESSIVE STUDIES OVER SPARSENESS OF LEAST SQUARES SUPPORT VECTOR MACHINES BASED ON HYPOTHETICAL ASSUMPTION

Authors: Amitesh Kumar Singam Bharat Reddy Ramancha Venkat Raj Reddy Pashike et al.

Source: INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH. :39-40

Subject Terms: 03 medical and health sciences, 0302 clinical medicine