Search Results - bayesian regularization algorithm

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

Authors: Asli Bor Merve Okan

Source: 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

Subject Terms: 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

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Access URL: 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

Authors: Andaç Batur Çolak

Source: Heat Transfer Research. 56:63-71

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

Authors: Vignesh Thangaraj Srie Vidhya Janani Elangeswaran Bhuvaneshwari Subburaman et al.

Source: Wireless Networks. 30:2329-2342

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

Authors: M.M. Hussain

Source: Materials Research Proceedings. 31:437-447

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.

Authors: Shaaban, Shaaban M. Elhag, Ahmed Babeker Jaghdam, Ines Hilali et al.

Source: Journal of Thermal Analysis & Calorimetry. Dec2025, Vol. 150 Issue 24, p20303-20321. 19p.

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

Authors: Vyas, Jayesh Kohli, Rishika Gupta, Shaifu et al.

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

Subject Terms: *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

Authors: Mahmudah, Norma Delfianti, Rezi Sigit, Firman Matiinu et al.

Source: 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

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

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

Availability: 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.

Authors: Troiano, Maurizio Nobile, Eugenio Mangini, Fabio et al.

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

Subject Terms: *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

Authors: Rootvesh Mehta Sandeep Malhotra Dhiren Pandit et al.

Source: Mathematics and Statistics. 10:366-377

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

Authors: Ardvono Privadi Vita Kusuma Avian Lukman Setya Budi et al.

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

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

Access URL: https://ieeexplore.ieee.org/document/9417833

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

Authors: Bhuvaneshwari Subburaman Vignesh Thangaraj Vadivel Balu et al.

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

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

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

Access URL: https://doaj.org/article/a03b7233b0a24ddaac66d7cf1c291bd9

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

Authors: null Wartika Ford Lumban Gaol Ariadi Nugroho et al.

Source: 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

Authors: Subhashhree Choudhury Devi Prasad Acharya Niranjan Nayak

Source: Lecture Notes in Networks and Systems ISBN: 9789811908248

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

Authors: Bor, Aslı Okan, Merve

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

Subject Terms: 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

Authors: Onur Denizhan

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

Subject Terms: 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)

Access URL: https://doaj.org/article/cc797c67d7d040feb172f180b9592aec

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

Authors: Xinyong Zhang Liwei Sun

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

Subject Terms: 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

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Access URL: 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

Authors: First Munish Suri

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

Subject Terms: 0101 mathematics, 01 natural sciences

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

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

Authors: Imran, Muhammad Hussain, Mohib Jia, Wantao et al.

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

Subject Terms: *HEAT transfer, *NANOFLUIDS, *THERMAL engineering, *MACHINE learning, *ARTIFICIAL intelligence, *THERMAL analysis, *NUMERICAL analysis

Reviews & Products: MATLAB (Computer software)

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

Authors: Thangaraj, Vignesh Elangeswaran, Srie Vidhya Janani Subburaman, Bhuvaneshwari et al.

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

Subject Terms: 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

Authors: Xinyong Zhang Liwei Sun Lingtong Qi

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

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

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

Access URL: https://doaj.org/article/33bb18a5b6f941a9a03ffd45e53f3f78