Suchergebnisse - kernel recursive least‐squares algorithm (KRLS) ‐ implementing state space models

Research Progress on Intelligent System’s Learning, Optimization, and Control—Part II: Online Sparse Kernel Adaptive Algorithm.

Autoren: Tan, Fuxiao Guan, Xinping

Quelle: IEEE Transactions on Systems, Man & Cybernetics. Systems; Dec2020, Vol. 50 Issue 12, p5369-5385, 17p

Schlagwörter: ALGORITHMS, ADAPTIVE filters, HILBERT space, PRINCIPAL components analysis, KERNEL functions, KERNEL (Mathematics)

Application of DBN-based KRLS method for RUL prediction of lithium-ion batteries.

Autoren: Li, Jun Ding, Pengfei

Quelle: Maintenance & Reliability / Eksploatacja i Niezawodność; 2025, Vol. 27 Issue 2, p1-15, 15p

Schlagwörter: REMAINING useful life, LITHIUM-ion batteries, PREDICTION algorithms, ARTIFICIAL neural networks, NONLINEAR regression, ADAPTIVE filters

Extended Kernel Recursive Least-Squares Algorithm.

Autoren: Haykin, Simon Liu, Weifeng Príncipe, José C.

Quelle: Kernel Adaptive Filtering: A Comprehensive Introduction; 2010, p124-151, 28p

Mixed-Precision Kernel Recursive Least Squares.

Autoren: Lee, JunKyu Nikolopoulos, Dimitrios S. Vandierendonck, Hans

Quelle: IEEE Transactions on Neural Networks & Learning Systems; Mar2022, Vol. 33 Issue 3, p1284-1298, 15p

Schlagwörter: OCEAN temperature, TIME series analysis, NONLINEAR regression, ONLINE education, MACHINE learning

Adaptive filter–based power curve modeling to estimate wind turbine power output.

Autoren: Dongre, Bharti Pateriya, Rajesh Kumar

Quelle: Wind Engineering; Feb2021, Vol. 45 Issue 1, p24-34, 11p

Schlagwörter: WIND power, WIND turbines, STANDARD deviations, LEAST squares, CURVES

Firma/Körperschaft: NATIONAL Renewable Energy Laboratory (U.S.)

Multi-class classification of gait cycle phases using machine learning: a comprehensive study using two training methods.

Autoren: Mekni, Amal Narayan, Jyotindra Gritli, Hassène

Quelle: Network Modeling & Analysis in Health Informatics & Bioinformatics; 5/12/2025, Vol. 14 Issue 1, p1-20, 20p

Multi‐model sensor fault detection and data reconciliation: A case study with glucose concentration sensors for diabetes.

Autoren: Feng, Jianyuan Hajizadeh, Iman Rashid, Mudassir et al.

Quelle: AIChE Journal; Feb2019, Vol. 65 Issue 1, p629-639, 11p

Schlagwörter: DIABETES, GLUCOSE, INSULIN, DETECTORS, ARTIFICIAL neural networks

Robust data cleaning methodology using online support vector regression for ultra-short baseline positioning system.

Autoren: Liu, Xianjun Liu, Xixiang Zhang, Tongwei et al.

Quelle: Review of Scientific Instruments; Dec2019, Vol. 90 Issue 12, p1-7, 7p, 1 Diagram, 2 Charts, 6 Graphs

Schlagwörter: DATA scrubbing, STANDARD deviations, VECTOR autoregression model

Performance Analysis of a Cognitive Phased Array Radar with Online Tracking Capability.

Autoren: Basit, Abdul Qureshi, Ijaz Shaoib, Bilal et al.

Quelle: Wireless Personal Communications; Jun2017, Vol. 94 Issue 4, p3163-3180, 18p

Schlagwörter: PHASED array radar, GENETIC algorithms, SIGNAL-to-noise ratio, MONTE Carlo method, KALMAN filtering

Kernel Mixture Correntropy Conjugate Gradient Algorithm for Time Series Prediction.

Autoren: Xue, Nan Luo, Xiong Gao, Yang et al.

Quelle: Entropy; Aug2019, Vol. 21 Issue 8, p785-785, 1p

Schlagwörter: TIME series analysis, RADIAL basis functions, KERNEL functions, ALGORITHMS, HILBERT space

Impact of socioeconomic determinants on road traffic accidents in Tunisia: insights from the dynamic ARDL and machine learning approaches.

Autoren: Ouni, Manel Mraihi, Rafaa

Quelle: Transportation Letters; Nov2025, Vol. 17 Issue 9, p1665-1681, 17p

Schlagwörter: TRAFFIC accidents, URBANIZATION, MACHINE learning, TIME series analysis, AUTOMOBILE ownership, ECONOMIC expansion, TUNISIANS, SOCIOECONOMIC factors

Geografische Kategorien: TUNISIA

The growth–environment nexus amid geopolitical risks: cointegration and machine learning algorithm approaches.

Autoren: Ali, Md. Idris Rahaman, Md. Atikur Ali, Mohammed Julfikar et al.

Quelle: Discover Sustainability; 2/7/2025, Vol. 6 Issue 1, p1-24, 24p

Schlagwörter: MACHINE learning, RUSSIAN invasion of Ukraine, 2022-, SUSTAINABILITY, CONSUMPTION (Economics), ENERGY economics, SOCIAL sustainability

Geografische Kategorien: CANADA

A Novel Kernel Algorithm for Finite Impulse Response Channel Identification.

Autoren: Fateh, Rachid Darif, Anouar Boumezzough, Ahmed et al.

Quelle: Journal of Telecommunications & Information Technology; 2023, Issue 2, p84-93, 10p

Schlagwörter: IMPULSE response, ADAPTIVE filters, RADIO access networks, MONTE Carlo method, NONLINEAR systems, WIRELESS channels, IDENTIFICATION

Conjugate Gradient Derived Kernel Affine Projection Method for Post-distortion in Visible Light Communication Systems.

Autoren: Shen, Yujie Wang, Jieling Kang, Zihan et al.

Quelle: Wireless Personal Communications; Mar2024, Vol. 135 Issue 1, p183-200, 18p

Schlagwörter: OPTICAL communications, TELECOMMUNICATION systems, VISIBLE spectra, ERROR rates, BIT error rate, HILBERT space

Nonlinear backward ADPCM speech coding using kernel methods and online sparsification.

Autoren: Alipoor, Ghasem Savoji, Mohammad Hassan

Quelle: Transactions on Emerging Telecommunications Technologies; Feb2014, Vol. 25 Issue 2, p161-172, 12p

Schlagwörter: KERNEL functions, ALGORITHM research, ADAPTIVE filters, LEAST squares, SPEECH coding, PULSE-code modulation

Woodball swing events detection using least square method.

Autoren: Hisam, N. S. Mohd Salleh, A. F. Mashor, M. Y.

Quelle: AIP Conference Proceedings; 2024, Vol. 2898 Issue 1, p1-9, 9p

Schlagwörter: LEAST squares, ANGULAR velocity, UNITS of measurement, RECREATIONAL mathematics

Front Matter.

Autoren: Haykin, Simon Liu, Weifeng Príncipe, José C.

Quelle: Kernel Adaptive Filtering: A Comprehensive Introduction; 2010, pi-xxi, 19p

Online Nonlinear Estimation via Iterative $L^2$ -Space Projections: Reproducing Kernel of Subspace.

Autoren: Ohnishi, Motoya Yukawa, Masahiro

Quelle: IEEE Transactions on Signal Processing; 8/1/2018, Vol. 66 Issue 15, p4050-4064, 15p

Schlagwörter: NONLINEAR estimation, ITERATIVE methods (Mathematics), SUBSPACES (Mathematics), APPROXIMATION theory, KERNEL (Mathematics)

AI-based methodologies for exoskeleton-assisted rehabilitation of the lower limb: a review.

Autoren: Coser, Omar Tamantini, Christian Soda, Paolo et al.

Quelle: Frontiers in Robotics & AI; 2024, p1-19, 19p

Schlagwörter: ROBOTIC exoskeletons, ROBOT control systems, REHABILITATION, SURGICAL robots, ROBOTICS

Machine learning for synergistic network pharmacology: a comprehensive overview.

Autoren: Noor, Fatima Asif, Muhammad Ashfaq, Usman Ali et al.

Quelle: Briefings in Bioinformatics; May2023, Vol. 24 Issue 3, p1-27, 27p

Schlagwörter: MACHINE learning, DRUG discovery, PHARMACOLOGY, SMALL molecules, DEEP learning, DRUG interactions, NETWORK hubs