Výsledky vyhledávání - recursive past squares algorithm with auxiliary variable~

Recursive Variable Projection Algorithm for a Class of Separable Nonlinear Models.

Autoři: Gan, Min Guan, Yu Chen, Guang-Yong a další

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Nov2021, Vol. 32 Issue 11, p4971-4982, 12p

Témata: ALGORITHMS, SIGNAL processing, SYSTEM identification, PARAMETER estimation, MACHINE learning, RECURSION theory

Hybrid Variational Modal Decomposition-Extreme Learning Machine-Adaptive Boosting Model for Monthly Runoff Prediction.

Autoři: Wu, Li Tian, Junfeng Jiang, Zhongfeng a další

Zdroj: Water (20734441); Nov2025, Vol. 17 Issue 21, p3129, 20p

Témata: EXTREME learning machines, BOOSTING algorithms, ENSEMBLE learning, WATER management, RUNOFF analysis, FLOOD control

4D trajectory lightweight prediction algorithm based on knowledge distillation technique.

Autoři: Tang, Weizhen Dai, Jie Huang, Zhousheng a další

Zdroj: Frontiers in Neurorobotics; 2025, p1-21, 21p

Témata: AIR traffic control, PREDICTION models, SPATIOTEMPORAL processes, REAL-time computing, KNOWLEDGE transfer, OPTIMIZATION algorithms

A New Variable Regularized QR Decomposition-Based Recursive Least M-Estimate Algorithm—Performance Analysis and Acoustic Applications.

Autoři: Chan, S. C. Chu, Y. J. Zhang, Z. G. a další

Zdroj: IEEE Transactions on Audio, Speech & Language Processing; May2013, Vol. 21 Issue 5, p907-922, 16p

Témata: ALGORITHMS, MATHEMATICAL decomposition, RECURSIVE functions, ADAPTIVE filters, STOCHASTIC convergence, RANDOM noise theory

The White Puzzle: A Framework for Computation as a Recursive‑Harmonic Phenomenon

Autoři: KULIK, DEAN

Identification of fractional order Hammerstein models based on mixed signals.

Autoři: Sun, Mengqi Wang, Hongwei Zhang, Qian

Zdroj: Journal of Control & Decision; Jan2024, Vol. 11 Issue 1, p132-138, 7p

Témata: FUZZY neural networks, PARAMETER identification, IDENTIFICATION

Multi-innovation identification algorithm based on auxiliary model for Hammerstein output error systems

Autoři: Zenshui Yue Xiaodong Yang

Zdroj: 2020 Chinese Automation Congress (CAC).

Přístupová URL adresa: http://xplorestaging.ieee.org/ielx7/9326315/9326464/09327057.pdf?arnumber=9327057
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9327057

RESEARCH ON SPORTS ECOTOURISM DEMAND PREDICTION BASED ON IMPROVED FOA ALGORITHM.

Autoři: Xiang, Ting Zhuo, Lin

Zdroj: International Journal of Medicine & Science of Physical Activity & Sport / Revista Internacional de Medicina y Ciencias de la Actividad Física y del Deporte; mar2025, Vol. 25 Issue 100, p518-535, 18p

Témata: TOURIST attractions, TOURISM, SUPPORT vector machines, PREDICTION models, GROSS domestic product

A survey of decision-making and planning methods for self-driving vehicles.

Autoři: Hu, Jun Wang, Yuefeng Cheng, Shuai a další

Zdroj: Frontiers in Neurorobotics; 2025, p1-24, 24p

Témata: AUTONOMOUS vehicles, MACHINE learning, DECISION making, ALGORITHMS, ROBOTICS

Deep Learning Method Based on Multivariate Variational Mode Decomposition for Classification of Epileptic Signals.

Autoři: Zhang, Shang Liu, Guangda Sun, Shiqing a další

Zdroj: Brain Sciences (2076-3425); Sep2025, Vol. 15 Issue 9, p933, 21p

Témata: DEEP learning, CLASSIFICATION, NEUROSCIENCES, SEIZURES (Medicine), MACHINE learning, SIGNAL processing, PEOPLE with epilepsy

Machine learning applications in vadose zone hydrology: A review.

Autoři: Li, Xiang Nieber, John L. Kumar, Vipin

Zdroj: Vadose Zone Journal; Jul2024, Vol. 23 Issue 4, p1-31, 31p

Témata: ARTIFICIAL neural networks, MACHINE learning, DEEP learning, HYDROLOGY, RANDOM forest algorithms

Infrared: a declarative tree decomposition-powered framework for bioinformatics.

Autoři: Yao, Hua-Ting Marchand, Bertrand Berkemer, Sarah J. a další

Zdroj: Algorithms for Molecular Biology; 3/16/2024, Vol. 19 Issue 1, p1-29, 29p

Témata: PYTHON programming language, BIOINFORMATICS, DYNAMIC programming, PROBLEM solving, NUCLEOTIDE sequence, FUZZY algorithms

The Improved-EFI Score: A Multi-Omics-Based Novel Efficacy Predictive Tool for Predicting the Natural Fertility of Endometriosis Patients.

Autoři: He, Qiumin Zhang, Chongyuan Hu, Yao a další

Zdroj: International Journal of General Medicine; Feb2025, Vol. 18, p881-895, 15p

Témata: MACHINE learning, DECISION trees, DECISION making, LAPAROSCOPIC surgery, PREGNANCY outcomes, CLINICAL prediction rules

The 34th Anual Meeting of the Asian Pacific Association for the study of the liver.

Zdroj: Hepatology International; 2025 Suppl 1, Vol. 19, p1-1554, 1554p

The Liver Meeting: 2025 Abstracts.

Zdroj: Hepatology (02709139); 2025Supplement, Vol. 82, pS1-S2308, 2308p

Approximate and Exact Optimization Algorithms for the Beltway and Turnpike Problems with Duplicated, Missing, Partially Labeled, and Uncertain Measurements.

Autoři: Elder, C.S. Hoang, Minh Ferdosi, Mohsen a další

Zdroj: Journal of Computational Biology; Oct2024, Vol. 31 Issue 10, p908-926, 19p

AN AUTOMATED BREAST CANCER DETECTION BY HEURISTIC-BASED ENSEMBLE DEEP CLASSIFIER USING MAMMOGRAM AND TOMOSYNTHESIS IMAGES.

Autoři: Kumar, M. N. V. S. S. Chaitanya, D. Eswara Ganesh, L. a další

Zdroj: Biomedical Engineering: Applications, Basis & Communications; Apr2024, Vol. 36 Issue 2, p1-25, 25p

Témata: DEEP learning, EARLY detection of cancer, BREAST cancer, ARTIFICIAL neural networks, MAMMOGRAMS, TOMOSYNTHESIS, FUZZY algorithms, NAIVE Bayes classification

A Hybrid Recursive Implementation of Broad Learning With Incremental Features.

Autoři: Liu, Di Baldi, Simone Yu, Wenwu a další

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Apr2022, Vol. 33 Issue 4, p1650-1662, 13p

Témata: BLENDED learning, INSTRUCTIONAL systems, SUPERVISED learning

Korporace: UNITED States. Bureau of Labor Statistics

Rapid Prediction Approach for Water Quality in Plain River Networks: A Data-Driven Water Quality Prediction Model Based on Graph Neural Networks.

Autoři: Yuan, Man Li, Yong Zhang, Linglei a další

Zdroj: Water (20734441); Sep2025, Vol. 17 Issue 17, p2543, 25p

Témata: WATER quality, GRAPH neural networks, WATERSHEDS, POLLUTION management, SPATIAL analysis (Statistics), STATISTICAL models, ENVIRONMENTAL research

Geografický termín: CHENGDU (China)

Neural Correlates of Huntington's Disease Based on Electroencephalography (EEG): A Mechanistic Review and Discussion of Excitation and Inhibition (E/I) Imbalance.

Autoři: Chmiel, James Nadobnik, Jarosław Smerdel, Szymon a další

Zdroj: Journal of Clinical Medicine; Jul2025, Vol. 14 Issue 14, p5010, 53p

Témata: HUNTINGTON disease, ELECTROENCEPHALOGRAPHY, NEUROPHYSIOLOGY, MACHINE learning, BIOMARKERS, NEURAL circuitry