Search Results - "((\"kernel recursive least squares algorithm\") OR (\"kernel recursive last squares algorithm\"))"

Quaternion kernel recursive least-squares algorithm

Authors: Rui Xue Bei Peng Jingci Qiao et al.

Source: Signal Processing. 178:107810

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

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

Evolving Takagi-Sugeno model based on online Gustafson-Kessel algorithm and kernel recursive least square method.

Authors: Shafieezadeh-Abadeh, Soroosh Kalhor, Ahmad

Source: Evolving Systems; Mar2016, Vol. 7 Issue 1, p1-14, 14p

Kernel Methods for Nonlinear Identification, Equalization and Separation of Signals

Authors: Vaerenbergh, Steven Van

Thesis Advisors: Santamaría Caballero, Ignacio, Universidad de Cantabria. Departamento de Ingeniería de Comunicaciones

Source: TDR (Tesis Doctorales en Red)

Subject Terms: spectral clustering, multiple-input multiple-output systems (MIMO), blind equalization of nonlinear systems, identification of nonlinear systems, signal processing, kernel methods, machine learning, análisis de correlaciones canónicas con kernels, separación ciega de fuentes post no lineal, filtrado adaptativo mediante Kernels, agrupamiento espectral, sistemas de múltiples entradas y múltiples salidas, igualación ciega de sistemas no lineales, identificación de sistemas no lineales, procesado de señal, métodos kernel, aprendizaje máquina, kernel adaptive filtering, postnonlinear blind source separation (BSS), adaptive kernel canonical correlation analysis, Teoría de la Señal y Comunicaciones

Time: 621.3

File Description: application/pdf

Access URL: http://www.tesisenred.net/TDR-0210110-112952
http://hdl.handle.net/10803/10673

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

Authors: Tan, Fuxiao Guan, Xinping

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

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

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

Authors: Mohammed Chadli Ilyes Boulkaibet Khaled Belarbi et al.

Source: Applied Soft Computing. 73:572-590

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

Access URL: https://dblp.uni-trier.de/db/journals/asc/asc73.html#BoulkaibetBBCM18
https://www.sciencedirect.com/science/article/pii/S156849461830509X

The Kernel Conjugate Gradient Algorithms.

Authors: Zhang, Ming Wang, Xiaojian Chen, Xiaoming et al.

Source: IEEE Transactions on Signal Processing. 8/15/2018, Vol. 66 Issue 16, p4377-4387. 11p.

Subject Terms: *CONJUGATE gradient methods, *REPRODUCING kernel (Mathematics), *MACHINE learning, *HILBERT space, *STOCHASTIC convergence

Recursive least squares projection twin support vector machines for nonlinear classification.

Authors: Ding, Shifei Hua, Xiaopeng

Source: Neurocomputing. Apr2014, Vol. 130, p3-9. 7p.

Subject Terms: *RECURSIVE functions, *LEAST squares, *SUPPORT vector machines, *NONLINEAR analysis, *GRAPHICAL projection, *ALGORITHMS

Individual variation in migration patterns of Iberian little bustards.

Authors: Coutinho Soares, Filipa Gameiro, João Marques, Ana Teresa et al.

Source: Movement Ecology. 7/22/2025, Vol. 13 Issue 1, p1-12. 12p.

Online Sequential Extreme Learning Machine With Kernels.

Authors: Scardapane, Simone Comminiello, Danilo Scarpiniti, Michele et al.

Source: IEEE Transactions on Neural Networks & Learning Systems; Sep2015, Vol. 26 Issue 9, p2214-2220, 7p

Subject Terms: FACILITATED learning, COGNITIVE structures, KERNEL operating systems, KERNEL (Mathematics), KERNEL functions

Kernel Recursive Least-Squares Temporal Difference Algorithms with Sparsification and Regularization.

Authors: Zhang, Chunyuan Zhu, Qingxin Niu, Xinzheng

Source: Computational Intelligence & Neuroscience; 6/29/2016, p1-11, 11p

Subject Terms: KERNEL (Mathematics), RECURSIVE functions, LEAST squares, MATHEMATICAL regularization, ALGORITHMS

A scalable implementation of the recursive least-squares algorithm for training spiking neural networks.

Authors: Arthur, Benjamin J. Kim, Christopher M. Susu Chen et al.

Source: Frontiers in Neuroinformatics; 2023, p1-8, 8p

Subject Terms: ARTIFICIAL neural networks, RECURRENT neural networks, NERVOUS system, ALGORITHMS, NEURAL circuitry

A Nonquadratic Algorithm Based on the Extended Recursive Least-Squares Algorithm.

Authors: Amaral, Luis Fernando Coelho Lopes, Marcus Vinicius Barros, Allan Kardec

Source: IEEE Signal Processing Letters; Oct2018, Vol. 25 Issue 10, p1535-1539, 5p

Subject Terms: TRACKING algorithms, LEAST squares, RECURSIVE sequences (Mathematics), STOCHASTIC processes, NONLINEAR functions, KALMAN filtering

Kernel Recursive Least-Squares Tracker for Time-Varying Regression.

Authors: Van Vaerenbergh, Steven Lazaro-Gredilla, Miguel Santamaria, Ignacio

Source: IEEE Transactions on Neural Networks & Learning Systems; Aug2012, Vol. 23 Issue 8, p1313-1326, 14p

Subject Terms: SIGNAL processing, KERNEL (Mathematics), ADAPTIVE filters, COMPUTATIONAL complexity, COMPUTER simulation

Probability Density Rank-Based Quantization for Convex Universal Learning Machines.

Authors: Qin, Zhengda Chen, Badong Gu, Yuantao et al.

Source: IEEE Transactions on Neural Networks & Learning Systems; Aug2020, Vol. 31 Issue 8, p3100-3113, 14p

Subject Terms: MACHINE learning, DATA distribution, PROBABILITY theory, DENSITY, VECTOR quantization

Actor-Critic Learning Control Based on$\ell_{2}$-Regularized Temporal-Difference Prediction With Gradient Correction.

Authors: Li, Luntong Li, Dazi Song, Tianheng et al.

Source: IEEE Transactions on Neural Networks & Learning Systems; Dec2018, Vol. 29 Issue 12, p5899-5909, 11p

Subject Terms: MACHINE learning, ARTIFICIAL neural networks, LEAST squares

Kernel-Based Least Squares Temporal Difference With Gradient Correction.

Authors: Song, Tianheng Li, Dazi Cao, Liulin et al.

Source: IEEE Transactions on Neural Networks & Learning Systems; Apr2016, Vol. 27 Issue 4, p771-782, 12p

Subject Terms: LEAST squares, ISOTONIC regression, REINFORCEMENT learning, MACHINE learning, MATHEMATICAL statistics

Indirect Estimation of Rock Uniaxial Compressive Strength from Simple Index Tests: Review and Improved Least Squares Regression Tree Predictive Model.

Authors: Tang, Zhu Li, Shuqing Huang, Shouqing et al.

Source: Geotechnical & Geological Engineering; Jun2021, Vol. 39 Issue 5, p3843-3862, 20p

Subject Terms: COMPRESSIVE strength, LEAST squares, PREDICTION models, REGRESSION trees

Structure-Exploiting Discriminative Ordinal Multioutput Regression.

Authors: Tian, Qing Cao, Meng Chen, Songcan et al.

Source: IEEE Transactions on Neural Networks & Learning Systems; Jan2021, Vol. 32 Issue 1, p266-280, 15p

Subject Terms: INTRACLASS correlation, KERNEL functions, MATHEMATICAL optimization, REGRESSION analysis, LINEAR programming

Parsimonious statistical learning models for low flow estimation.

Authors: Laimighofer, Johannes Melcher, Michael Laaha, Gregor

Source: Hydrology & Earth System Sciences Discussions; 9/22/2021, p1-32, 32p

Subject Terms: STATISTICAL learning, STATISTICAL models, SUPPORT vector machines, SEASONS, RANDOM forest algorithms, WATERSHEDS, PRECIPITATION gauges

Geographic Terms: AUSTRIA