Výsledky vyhledávání - Bayesian regularization algorithm

Comparison of Levenberg-Marquardt and Bayesian Regularization Learning Algorithms for Daily Runoff Forecasting

Autoři: Asli Bor Merve Okan

Zdroj: Journal of Innovative Science and Engineering, Vol 9, Iss 1, Pp 62-77 (2025)
Volume: 9, Issue: 162-77
Journal of Innovative Science and Engineering

Témata: rainfall-runoff process, Numerical Modelization in Civil Engineering, euphrates-tigris basin thanks, Discharge Forecasting, Rainfall-runoff process, Artificial Neural Network, Euphrates-Tigris Basin, discharge forecasting, TA1-2040, Engineering (General). Civil engineering (General), Water Resources Engineering, Su Kaynakları Mühendisliği, artificial neural network, İnşaat Mühendisliğinde Sayısal Modelleme

Popis souboru: application/pdf

Přístupová URL adresa: https://doaj.org/article/d31e6fc1374847dabb401de3c747ca94
https://dergipark.org.tr/tr/pub/jise/issue/91233/1375510

A NEW STUDY ON THE PREDICTION OF THERMAL EFFICIENCY PROPERTIES OF OLDROYD-B NANOFLUID FLOW IN SOLAR WATER PUMPS WITH AN ARTIFICIAL NEURAL NETWORK MODEL WITH BAYESIAN REGULARIZATION ALGORITHM

Autoři: Andaç Batur Çolak

Zdroj: Heat Transfer Research. 56:63-71

Modeling of a high gain two stage pHEMT LNA using ANN with Bayesian regularization algorithm

Autoři: Vignesh Thangaraj Srie Vidhya Janani Elangeswaran Bhuvaneshwari Subburaman a další

Zdroj: Wireless Networks. 30:2329-2342

Bayesian regularization optimization algorithm for the experimental thermophysical property for 80:20% water and ethylene glycol based ZrO2 nanofluids

Autoři: M.M. Hussain

Zdroj: Materials Research Proceedings. 31:437-447

Liquid droplet entrainment in an annular flow boiling regime—A Bayesian regularization algorithm based study.

Autoři: Vyas, Jayesh Kohli, Rishika Gupta, Shaifu a další

Zdroj: Journal of Applied Physics. 4/28/2024, Vol. 135 Issue 16, p1-10. 10p.

Témata: *ANNULAR flow, *ARTIFICIAL neural networks, *LIQUID films, *VISCOSITY, *FILM flow, *TWO-phase flow, *LIQUID density

Implementation of Neural Networks in Daily PV Power Output Prediction Using Bayesian Regularization Algorithms to Assist Energy Management Systems

Autoři: Mahmudah, Norma Delfianti, Rezi Sigit, Firman Matiinu a další

Zdroj: Jurnal Edukasi Elektro; Vol. 9 No. 2 (2025): Jurnal Edukasi Elektro Volume 9, No. 2, November 2025; 214 - 230 ; 2548-8260 ; 2548-8252 ; 10.21831/jee.v9i2

Témata: Artificial Neural network, Elman Neural Network, Cascade Forward Neural Network, Bayesian Regularization Algorithm, Mean Square Error

Popis souboru: application/pdf

Relation: https://journal.uny.ac.id/index.php/jee/article/view/91044/24453; https://journal.uny.ac.id/index.php/jee/article/view/91044

Dostupnost: https://journal.uny.ac.id/index.php/jee/article/view/91044
https://doi.org/10.21831/jee.v9i2.91044

A Comparative Analysis of the Bayesian Regularization and Levenberg–Marquardt Training Algorithms in Neural Networks for Small Datasets: A Metrics Prediction of Neolithic Laminar Artefacts.

Autoři: Troiano, Maurizio Nobile, Eugenio Mangini, Fabio a další

Zdroj: Information. May2024, Vol. 15 Issue 5, p270. 26p.

Témata: *Algorithms, Bayesian analysis, Comparative studies, Neolithic Period, Forecasting

Solution of 1st Order Stiff Ordinary Differential Equations Using Feed Forward Neural Network and Bayesian Regularization Algorithm

Autoři: Rootvesh Mehta Sandeep Malhotra Dhiren Pandit a další

Zdroj: Mathematics and Statistics. 10:366-377

Photovoltaic Power Forecasting Using Recurrent Neural Network Based On Bayesian Regularization Algorithm

Autoři: Ardvono Privadi Vita Kusuma Avian Lukman Setya Budi a další

Zdroj: 2021 IEEE International Conference in Power Engineering Application (ICPEA). :109-114

Témata: 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Přístupová URL adresa: https://ieeexplore.ieee.org/document/9417833

Artificial Neural Network Modeling of a CMOS Differential Low-Noise Amplifier Using the Bayesian Regularization Algorithm

Autoři: Bhuvaneshwari Subburaman Vignesh Thangaraj Vadivel Balu a další

Zdroj: Sensors, Vol 23, Iss 21, p 8790 (2023)

Témata: gain boosting, differential cascode, capacitor cross-coupling, low-noise amplifier, ANN, Bayesian regularization, Chemical technology, TP1-1185

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/23/21/8790; https://doaj.org/toc/1424-8220

Přístupová URL adresa: https://doaj.org/article/a03b7233b0a24ddaac66d7cf1c291bd9

Application of Bayesian Regularization Algorithm for Evaluation of Performance Software Complexity Prediction Model Based on Requirement

Autoři: null Wartika Ford Lumban Gaol Ariadi Nugroho a další

Zdroj: International Journal of Recent Technology and Engineering (IJRTE). 8:2530-2535

Power Quality Issues Mitigation in an AC Microgrid Through Bayesian Regularization Algorithm-Trained Artificial Neural Network

Autoři: Subhashhree Choudhury Devi Prasad Acharya Niranjan Nayak

Zdroj: Lecture Notes in Networks and Systems ISBN: 9789811908248

Comparison of Levenberg-Marquardt and Bayesian Regularization Learning Algorithms for Daily Runoff Forecasting.

Autoři: Bor, Aslı Okan, Merve

Zdroj: Journal of Innovative Science & Engineering (JISE); 2025, Vol. 9 Issue 1, p62-77, 16p

Témata: ARTIFICIAL neural networks, MACHINE learning, WATER storage, LEAD time (Supply chain management), RUNOFF

Comparison of different supervised learning algorithms for position analysis of the slider-crank mechanism

Autoři: Onur Denizhan

Zdroj: Alexandria Engineering Journal, Vol 92, Iss, Pp 39-49 (2024)

Témata: 0209 industrial biotechnology, Artificial neural networks, Position analysis, Slider-crank mechanism, 0202 electrical engineering, electronic engineering, information engineering, Levenberg-Marquardt Backpropagation, Scaled Conjugate Gradient Descent, 02 engineering and technology, TA1-2040, Bayesian Regularization, Engineering (General). Civil engineering (General)

Přístupová URL adresa: https://doaj.org/article/cc797c67d7d040feb172f180b9592aec

Optimization of Optical Machine Structure by Backpropagation Neural Network Based on Particle Swarm Optimization and Bayesian Regularization Algorithms

Autoři: Xinyong Zhang Liwei Sun

Zdroj: Materials (Basel)
Materials; Volume 14; Issue 11; Pages: 2998

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Article, space camera, supporting structure, optical machine structure optimization, backpropagation neural network, particle swarm optimization, Bayesian regularization algorithm

Popis souboru: application/pdf

Přístupová URL adresa: https://www.mdpi.com/1996-1944/14/11/2998/pdf
https://pubmed.ncbi.nlm.nih.gov/34205951
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198718
https://www.mdpi.com/1996-1944/14/11/2998/pdf
https://www.mdpi.com/1996-1944/14/11/2998
https://europepmc.org/article/PMC/PMC8198718

Signal classification using Bayesian regularization and Levenberg-Marquardt algorithm

Autoři: First Munish Suri

Zdroj: 2017 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES). :1-6

Témata: 0101 mathematics, 01 natural sciences

Přístupová URL adresa: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=8091315

Machine learning analysis based on Bayesian regularization algorithm for the thermal bioconvection flow of Boger nanofluid in the presence of gyrotactic microbes: enzyme-based biosensor applications.

Autoři: Shaaban, Shaaban M. Elhag, Ahmed Babeker Jaghdam, Ines Hilali a další

Zdroj: Journal of Thermal Analysis & Calorimetry. Nov2025, p1-19.

Témata: *BIOSENSORS, *NANOFLUIDS, *MACHINE learning, *BAYESIAN analysis, *HEAT exchanger efficiency, *MAGNETOHYDRODYNAMICS, *NATURAL heat convection, *MARINE bacteria

Machine learning-based Bayesian regularization algorithm for thermal analysis of tri-hybrid nanofluid flow over a stretched sheet.

Autoři: Imran, Muhammad Hussain, Mohib Jia, Wantao a další

Zdroj: International Communications in Heat & Mass Transfer. Dec2025:Part C, Vol. 169, pN.PAG-N.PAG. 1p.

Modeling of a high gain two stage pHEMT LNA using ANN with Bayesian regularization algorithm.

Autoři: Thangaraj, Vignesh Elangeswaran, Srie Vidhya Janani Subburaman, Bhuvaneshwari a další

Zdroj: Wireless Networks (10220038); May2024, Vol. 30 Issue 4, p2329-2342, 14p

Témata: ARTIFICIAL neural networks, MODULATION-doped field-effect transistors, LOW noise amplifiers, MULTILAYER perceptrons, RADIO frequency, ALGORITHMS, MATHEMATICAL regularization

Bayesian Regularization Algorithm Based Recurrent Neural Network Method and NSGA-II for the Optimal Design of the Reflector

Autoři: Xinyong Zhang Liwei Sun Lingtong Qi

Zdroj: Machines, Vol 10, Iss 1, p 63 (2022)

Témata: reflector, recurrent neural network, NSGA-II, multi-objective optimization, optical machine structure, first-order modal frequency, Mechanical engineering and machinery, TJ1-1570

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2075-1702/10/1/63; https://doaj.org/toc/2075-1702

Přístupová URL adresa: https://doaj.org/article/33bb18a5b6f941a9a03ffd45e53f3f78