Výsledky vyhľadávania - noise model parameter algorithm

Parameter identification of smart float diving model based on ASNLS algorithm

Autori: Yiming ZHONG Caoyang YU Junjun CAO a ďalší

Zdroj: Zhongguo Jianchuan Yanjiu, Vol 19, Iss 2, Pp 13-20 (2024)

Predmety: smart float, parameter identification, antisaturation and noise least squares (asnls) algorithm, motion prediction, data saturation, Naval architecture. Shipbuilding. Marine engineering, VM1-989

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1673-3185

Prístupová URL adresa: https://doaj.org/article/dcf443c67b06425382869cb0067259a0

Estimating models with high-order noise dynamics using semi-parametric weighted null-space fitting

Autori: Galrinho, Miguel Rojas, Cristián R. Hjalmarsson, Håkan

Zdroj: Automatica. 102:45-57

Predmety: Closed-loop identification, Identification algorithms, Least squares, Non-parametric identification, Parameter identification, System identification

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-246463
https://kth.diva-portal.org/smash/get/diva2:1299182/FULLTEXT01.pdf

Feedback chaotic growth optimizer for parameter extraction of a novel direct current arc model.

Autori: Yin, Zhendong Wang, Li Qiu, Xianqun a ďalší

Zdroj: ISA Transactions. Nov2025, Vol. 166, p364-378. 15p.

Predmety: Metaheuristic algorithms, Optimization algorithms, Photovoltaic power generation, Feature extraction

Recursive Least Squares Parameter Estimation Algorithms for a Class of Nonlinear Stochastic Systems With Colored Noise Based on the Auxiliary Model and Data Filtering

Autori: Longjin Wang Yan He

Zdroj: IEEE Access, Vol 7, Pp 181295-181304 (2019)

Predmety: Parameter estimation, bilinear system, data filtering, least squares, recursive identification, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/8917629/; https://doaj.org/toc/2169-3536

Prístupová URL adresa: https://doaj.org/article/21bd1e1d54bc42ca98879771ff6e395f

Adaptive Kalman Filtering Based on Model Parameter Ratios

Autori: Ge, Quanbo Li, Yunyu Wang, Yuanliang a ďalší

Zdroj: IEEE Transactions on Automatic Control. 69(9):6230-6237

Predmety: Noise measurement, Kalman filters, Q measurement, Estimation, Adaptation models, Covariance matrices, Time measurement, Estimation error, inaccurate models, Kalman filter (KF), model parameter ratio (MPR), particle swarm optimization (PSO)

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-354590

Particle filtering estimation for linear and nonlinear state-space models

Autori: Acosta Argueta, Lesly María

Prispievatelia: University/Department: Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa

Thesis Advisors: Muñoz Gràcia, Maria Pilar

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Particle filtering, Sequential Monte Carlo method, Kalman filter, Parameter estimation, State-space model, Linear local level and AR(1) plus noise models, Nonlinear stochastic volatility model, Residual and stratified resampling, Signal-to-Noise ratio

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/134356
https://dx.doi.org/10.5821/dissertation-2117-95201

Multi-step ahead wind speed prediction based on a two-step decomposition technique and prediction model parameter optimization

Autori: He Wang Min Xiong Hongfeng Chen a ďalší

Zdroj: Energy Reports, Vol 8, Iss , Pp 6086-6100 (2022)

Predmety: Wind speed prediction, Two-step decomposition, Complete ensemble empirical mode decomposition with adaptive noise, Robust local mean decomposition, Long and short term memory neural network, Improved whale optimization algorithm, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2352484722008101; https://doaj.org/toc/2352-4847

Prístupová URL adresa: https://doaj.org/article/43bc86037d98456e9c93bf6663b396ca

Forecasting the growth of Ambystoma mexicanum via artificial neural networks based on water quality parameters in intensive culture systems.

Autori: Axel Vera-Cortes, Christian Juan Carbajal-Hernández, José Samantha Morales-Rodríguez, Úrsula a ďalší

Zdroj: Journal of Animal Behavior & Biometeorology. Jul2025, Vol. 13 Issue 3, p1-18. 18p.

Predmet: Artificial neural networks, Autoregressive models, Water quality, Transfer functions, Water temperature

Self-Tuning Distributed Fusion Filter for Multi-Sensor Networked Systems with Unknown Packet Receiving Rates, Noise Variances, and Model Parameters

Autori: Minhui Wang Shuli Sun

Zdroj: Sensors, Vol 19, Iss 20, p 4436 (2019)

Predmety: rels algorithm, correlation function method, unknown packet receiving rate, unknown noise variance, unknown model parameter, self-tuning fusion filter, Chemical technology, TP1-1185

Popis súboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/19/20/4436; https://doaj.org/toc/1424-8220

Prístupová URL adresa: https://doaj.org/article/ce61f8c6dd924157b21e5e3c0762b6b6

Application of Addition and Multiplication Noise Model Parameter Estimation in INSAR Image Processing

Autori: Ge Cui

Zdroj: Mathematical Problems in Engineering. 2022:1-10

Predmety: 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Popis súboru: text/xhtml

Bounded-error parameter estimation: Noise models and recursive algorithms

Autori: Bai, EW Nagpal, KM Tempo, R.

Témy: System identification, Parameter estimation, Bounded noise, Modelling, Identifier, Estimator, Recursive algorithms, Article

URL: http://repository.ust.hk/ir/Record/1783.1-26717
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=0005-1098&rft.volume=32&rft.issue=7&rft.date=1996&rft.spage=985&rft.epage=999&rft.aulast=Bai&rft.aufirst=EW&rft.atitle=Bounded-error+parameter+estimation:+Noise+models+and+recursive+algorithms
http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=A1996VE42100004
http://www.scopus.com/record/display.url?eid=2-s2.0-0030192476&origin=inward

Body Weight Estimation in Holstein × Zebu Crossbred Heifers: Comparative Analysis of XGBoost and LightGBM Algorithms.

Autori: Herrera‐Camacho, Jose Tırınk, Cem Parra‐Cortés, Rosa Inés a ďalší

Zdroj: Veterinary Medicine & Science. Jul2025, Vol. 11 Issue 4, p1-10. 10p.

Predmet: Machine learning, Milk yield, Body weight, Heifers, Rural geography

Parameter Estimation of Neuro-Fuzzy Wiener Model With Colored Noise Using Separable Signals

Autori: Bensheng Lyu Li Jia Feng Li

Zdroj: IEEE Access, Vol 8, Pp 67047-67058 (2020)

Predmety: Wiener model, separable signal, correlation analysis, stochastic gradient, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/9063685/; https://doaj.org/toc/2169-3536

Prístupová URL adresa: https://doaj.org/article/d9a56a3eb7f04ceda58955feb2f1e846

Genetic Assessment of Derived Growth Curve Parameters in Sonadi Sheep Within a Breeding Flock.

Autori: Gautam, Lokesh Tyasi, Thobela Louis

Zdroj: Veterinary Medicine & Science. Nov2025, Vol. 11 Issue 6, p1-10. 10p.

Predmet: Heritability, Growth curves (Statistics), Animal ecology, Animal breeding, Maternal nutrition, Sheep

Modelling noise in gravitational-wave observatories with transdimensional models

Autori: Guttman, Nir Lasky, Paul D. Thrane, Eric

Témy: Astrophysics - Instrumentation and Methods for Astrophysics, General Relativity and Quantum Cosmology, text

URL: http://arxiv.org/abs/2501.03285

Rezidüel gravite anomalilerinden yerçekimsel arama algoritmasıyla model parametre kestirimi = Model parameter estimation by gravity search algorithm from residual gravity anomalies

Autori: Işık, Merve, 1993- author 203858 Balkaya, Çağlayan, 1975- thesis advisor 22804 Süleyman Demirel Üniversitesi. Fen Bilimleri Enstitüsü. Jeofizik Mühendisliği Anabilim Dalı. 12140 issuing body

Témy: Süleyman Demirel Üniversitesi, text

URL: http://tez.sdu.edu.tr/Tezler/TF04571.pdf

Low coordinate degree algorithms II: Categorical signals and generalized stochastic block models

Autori: Kunisky, Dmitriy

Témy: Mathematics - Statistics Theory, Computer Science - Data Structures and Algorithms, Mathematics - Combinatorics, Mathematics - Probability, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2412.21155

OPTIMIZATION METHODS FOR PARAMETER IDENTIFICATION MODEL OF TEST ELECTRORETINOSIGNAL TO ASSESS NEUROTOXICITY RISKS

Zdroj: Bulletin of Kyiv Polytechnic Institute. Series Instrument Making; No. 68(2) (2024); 80-86; № 68(2) (2024); 80-86; № 68(2) (2024); 80-86; 2663-3450; 0321-2211

Témy: electroretinogram, low intensity, neurotoxicity, optimization, parametric identification, info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion

URL: https://visnykpb.kpi.ua/article/view/318208/309237
https://visnykpb.kpi.ua/article/view/318208/309237

Automation of Model Parameter Estimation for Random Telegraph Noise

Autori: Hirofumi SHIMIZU Hiromitsu AWANO Masayuki HIROMOTO a ďalší

Zdroj: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. 2014, E97.A(12):2383

Comparative Performance Analysis of Optimization Algorithms in Artificial Neural Networks for Stock Price Prediction

Autori: Ekaprana Wijaya Moch. Arief Soeleman Pulung Nurtantio Andono

Zdroj: Journal of Applied Informatics and Computing, Vol 9, Iss 1, Pp 23-30 (2025)

Predmety: artificial neural networks, model parameter, performance evaluation, stock price forecasting, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/8820; https://doaj.org/toc/2548-6861

Prístupová URL adresa: https://doaj.org/article/3620eb5094c34305a02d5afc752b7fd2