Výsledky vyhledávání - Multi-output fast recursive algorithm

A fast multi-output RBF neural network construction method

Autoři: Du, Dajun Li, Kang Fei, Minrui

Zdroj: Neurocomputing. Jun2010, Vol. 73 Issue 10-12, p2196-2202. 7p.

Témata: *ARTIFICIAL neural networks, *COMPUTATIONAL complexity, *MATHEMATICAL models, *RADIAL basis functions, *ALGORITHMS, *ERROR analysis in mathematics, *REGRESSION analysis

Multi-channel decentralized decoupling FxLMS algorithm and active vibration control experiment.

Autoři: Chai, Kai Liu, Yong Shu Hu, Bo Jun

Zdroj: Journal of Low Frequency Noise, Vibration & Active Control. Dec2024, Vol. 43 Issue 4, p1732-1760. 29p.

Témata: *MEAN square algorithms, *ACTIVE noise & vibration control, *PROCESS control equipment, *EXCITATION spectrum, *VIBRATION isolation

Fast just-in-time-learning recursive multi-output LSSVR for quality prediction and control of multivariable dynamic systems.

Autoři: Zhou, Ping Chen, Weiqi Yi, Chengming a další

Zdroj: Engineering Applications of Artificial Intelligence. Apr2021, Vol. 100, pN.PAG-N.PAG. 1p.

Témata: *MULTIVARIABLE control systems, *QUALITY control, *MACHINE learning, *LIQUID iron, *MATRIX inversion, *MULTIVARIABLE testing, *PARTIAL least squares regression

Fast convergent frequency-domain MIMO equalizer for few-mode fiber communication systems.

Autoři: He, Xuan Weng, Yi Wang, Junyi a další

Zdroj: Optics Communications. Feb2018, Vol. 409, p131-136. 6p.

Témata: *MIMO systems, *EQUALIZERS (Electronics), *MEAN square algorithms, *WIRELESS communications, *SPECTRAL energy distribution

Fast computation of multi-input-multi-output decision feedback equalizer coefficients

Evaluation and optimization of basketball tactics training effect in physical education: Application research using Decision Tree (DT) algorithm.

Autoři: Hu, Nan Ma, Benlong

Zdroj: Molecular & Cellular Biomechanics; 2024, Vol. 21 Issue 2, p1-18, 18p

Témata: BASKETBALL, PHYSICAL education, AUTHENTIC assessment, DATA analysis, PYTHON programming language, DECISION trees, BASKETBALL coaching

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

Multi-Output Selective Ensemble Identification of Nonlinear and Nonstationary Industrial Processes.

Autoři: Liu, Tong Chen, Sheng Liang, Shan a další

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; May2022, Vol. 33 Issue 5, p1867-1880, 14p

Témata: MANUFACTURING processes, LINEAR orderings, BIOLOGICAL systems

Data-Driven Designs of Fault Detection Systems via Neural Network-Aided Learning.

Autoři: Chen, Hongtian Chai, Zheng Dogru, Oguzhan a další

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Oct2022, Vol. 33 Issue 10, p5694-5705, 12p

Témata: FINITE impulse response filters, IMPULSE response, DYNAMICAL systems, HEURISTIC algorithms, ARTIFICIAL neural networks

AI-Enabled Membrane Bioreactors: A Review of Control Architectures and Operating-Parameter Optimization for Nitrogen and Phosphorus Removal.

Autoři: Xu, Mingze Liu, Di

Zdroj: Water (20734441); Oct2025, Vol. 17 Issue 19, p2899, 29p

Témata: NITROGEN removal (Sewage purification), PHOSPHATE removal (Sewage purification), BIOLOGICAL nutrient removal, BIOREACTORS, REGULATORY compliance, WASTEWATER treatment, ARTIFICIAL intelligence, FEEDBACK control systems

A Finite-Time Extended State Observer with Prediction Error Compensation for PMSM Control.

Autoři: Gao, Lihua Zhang, Guangming Lv, Xiaodong a další

Zdroj: Computation; Oct2025, Vol. 13 Issue 10, p247, 21p

Témata: PERMANENT magnet motors, ROBUST control, OBSERVABILITY (Control theory), DYNAMIC loads, PREDICTIVE control systems, UNCERTAIN systems

A Combined Model for Water Quality Prediction Based on VMD-TCN-ARIMA Optimized by WSWOA.

Autoři: Zuo, Hongyu Gou, Xiantai Wang, Xin a další

Zdroj: Water (20734441); Dec2023, Vol. 15 Issue 24, p4227, 20p

Témata: WATER quality, METAHEURISTIC algorithms, WATER management, TIME series analysis, STANDARD deviations, WATER quality monitoring, BOX-Jenkins forecasting, MOVING average process

Cone Penetration Test Prediction Based on Random Forest Models and Deep Neural Networks.

Autoři: Pacheco, Vinicius Luiz Bragagnolo, Lucimara Dalla Rosa, Francisco a další

Zdroj: Geotechnical & Geological Engineering; Nov2023, Vol. 41 Issue 8, p4595-4628, 34p

Témata: DEEP learning, ARTIFICIAL neural networks, CONE penetration tests, RANDOM forest algorithms, MACHINE learning, DATABASES

Geografický termín: AUSTRIA, GERMANY

Additional fractional gradient descent identification algorithm based on multi-innovation principle for autoregressive exogenous models.

Autoři: Wang Z Liang S Chen B a další

Zdroj: Scientific reports [Sci Rep] 2024 Aug 27; Vol. 14 (1), pp. 19843. Date of Electronic Publication: 2024 Aug 27.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

Aeroelastic parameter identification in wind tunnel testing via the extended eigensystem realization algorithm.

Autoři: Rebolho, Daniela C Belo, Eduardo M Marques, Flávio D

Zdroj: Journal of Vibration & Control. Aug2014, Vol. 20 Issue 11, p1607-1621. 15p.

Témata: *AEROELASTICITY, *TESTING of wind tunnels, *AEROSPACE engineering, *IMPULSE response, *SYSTEM identification, *SUBSPACE identification (Mathematics)

An Edge-Deployable Multi-Modal Nano-Sensor Array Coupled with Deep Learning for Real-Time, Multi-Pollutant Water Quality Monitoring.

Autoři: Xi, Zhexu Nicolas, Robert Wei, Jiayi

Zdroj: Water (20734441); Jul2025, Vol. 17 Issue 14, p2065, 30p

Témata: WATER quality, DEEP learning, WATER management, DETECTORS, SCIENTIFIC observation, REAL-time computing, POLLUTANTS, NANOSENSORS

Machine learning pipeline for battery state-of-health estimation.

Autoři: Roman, Darius Saxena, Saurabh Robu, Valentin a další

Zdroj: Nature Machine Intelligence; May2021, Vol. 3 Issue 5, p447-456, 10p

Range recursive space-time adaptive processing (STAP) for MIMO airborne RADAR

Autoři: Marcos, Sylvie Laboratoire des signaux et systèmes (L2S) Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)

Přispěvatelé: Marcos, Sylvie Laboratoire des signaux et systèmes (L2S) Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)

Zdroj: Proceedings of EUSIPCO 2009 ; 17th EUropean SIgnal Processing COnference (EUSIPCO) ; https://centralesupelec.hal.science/hal-00443943 ; 17th EUropean SIgnal Processing COnference (EUSIPCO), Aug 2009, Glasgow, European Union. pp.592-596

Témata: Space-time adaptive processing, STAP, MIMO, airborne RADAR, range recursive algorithm, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing

Geografické téma: Glasgow, European Union

Dostupnost: https://centralesupelec.hal.science/hal-00443943
https://centralesupelec.hal.science/hal-00443943v1/document
https://centralesupelec.hal.science/hal-00443943v1/file/eusipco2009_mimo_V8b.pdf

Online parameter adaptive control of mobile robots based on deep reinforcement learning under multiple optimisation objectives.

Autoři: Sui, Xiuli Chen, Haiyong

Zdroj: Cognitive Computation & Systems; Dec2024, Vol. 6 Issue 4, p86-97, 12p

Témata: DEEP reinforcement learning, REINFORCEMENT learning, ADAPTIVE control systems, ARTIFICIAL intelligence, ROBOT control systems, MOBILE robots

Prediction of Irrigation Water Requirements for Green Beans-Based Machine Learning Algorithm Models in Arid Region.

Autoři: Mokhtar, Ali Al-Ansari, Nadhir El-Ssawy, Wessam a další

Zdroj: Water Resources Management; Mar2023, Vol. 37 Issue 4, p1557-1580, 24p

Témata: MACHINE learning, WATER management, EVAPOTRANSPIRATION, ARTIFICIAL neural networks, IRRIGATION water, ARID regions