Suchergebnisse - "Bayesian Regularization Algorithm"

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

Autoren: Andaç Batur Çolak

Quelle: Heat Transfer Research. 56:63-71

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

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

Quelle: Wireless Networks. 30:2329-2342

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.

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

Quelle: 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

Autoren: Jayesh Vyas Rishika Kohli Shaifu Gupta et al.

Quelle: Journal of Applied Physics. 135

Schlagwörter: 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences

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

Autoren: Rootvesh Mehta Sandeep Malhotra Dhiren Pandit et al.

Quelle: Mathematics and Statistics. 10:366-377

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

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

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

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

Zugangs-URL: https://ieeexplore.ieee.org/document/9417833

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

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

Quelle: 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

Autoren: Subhashhree Choudhury Devi Prasad Acharya Niranjan Nayak

Quelle: Lecture Notes in Networks and Systems ISBN: 9789811908248

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

Autoren: Bhuvaneshwari Subburaman Vignesh Thangaraj Vadivel Balu et al.

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/a03b7233b0a24ddaac66d7cf1c291bd9

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

Autoren: Xinyong Zhang Liwei Sun Lingtong Qi

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/33bb18a5b6f941a9a03ffd45e53f3f78

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

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

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

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

Reviews & Products: MATLAB (Computer software)

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

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

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

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

Hybrid algorithm based on Levenberg-Marquardt Bayesian Regularization Algorithm and Genetic Algorithm

Autoren: Hongchun Wang Feng Song

Quelle: Proceedings of the 2013 International Conference on Advanced Mechatronic Systems. :51-56

Schlagwörter: 0103 physical sciences, 0211 other engineering and technologies, 02 engineering and technology, 01 natural sciences

Zugangs-URL: https://ieeexplore.ieee.org/document/6681749/
http://ieeexplore.ieee.org/document/6681749/

A Sensor Registration Method Using Improved Bayesian Regularization Algorithm

Autoren: Xin Li Desheng Wang

Quelle: 2009 International Joint Conference on Computational Sciences and Optimization. :195-199

Schlagwörter: 0203 mechanical engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://ieeexplore.ieee.org/document/5193930/
https://doi.ieeecomputersociety.org/10.1109/CSO.2009.447
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005193930
https://dblp.uni-trier.de/db/conf/cso/cso2009-2.html#LiW09a
https://www.computer.org/csdl/proceedings/cso/2009/3605/02/3605c195.pdf
http://ieeexplore.ieee.org/document/5193930/

IMPACT FORCE IDENTIFICATION FOR COMPOSITES USING A NON-NEGATIVE BAYESIAN REGULARIZATION ALGORITHM

Autoren: Gang Yan Hao Sun Yi He

Investigating Feed-Forward Back-Propagation Neural Network with Different Hyperparameters for Inverse Kinematics of a 2-DoF Robotic Manipulator: A Comparative Study

Autoren: Rania Bouzid Hassène Gritli Jyotindra Narayan

Quelle: Chaos Theory and Applications, Vol 6, Iss 2, Pp 90-110 (2024)
Volume: 6, Issue: 290-110
Chaos Theory and Applications

Schlagwörter: T57-57.97, 0209 industrial biotechnology, r-value, Applied mathematics. Quantitative methods, different datasets, inverse kinematics, QA75.5-76.95, 02 engineering and technology, robotic manipulator, hyperparameters, Kontrol Mühendisliği, Mekatronik ve Robotik (Diğer), levenberg-marquardt algorithm, bayesian regularization algorithm, artifical neural network, scaled conjugate gradient algorithm, Electronic computers. Computer science, 0202 electrical engineering, electronic engineering, information engineering, Control Engineering, Mechatronics and Robotics (Other), mean squared error, Robotic manipulator, Inverse kinematics, Feed-Forward backpropagation, Artifical neural network, Hyperparameters, Levenberg-Marquardt algorithm, Bayesian Regularization algorithm, Scaled Conjugate Gradient algorithm, Different Datasets, Mean squared error, R-value, feed-forward backpropagation

Dateibeschreibung: application/pdf

Zugangs-URL: https://doaj.org/article/f675b9576a334ea18ac56a7387db2bf2
https://dergipark.org.tr/tr/pub/chaos/issue/85190/1375866

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

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

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

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

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

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

Quelle: 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

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

Dateibeschreibung: 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

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

A Hybrid Framework Integrating Deterministic Clustering, Neural Networks, and Energy-Aware Routing for Enhanced Efficiency and Longevity in Wireless Sensor Network

Autoren: Muhammad Salman Qamar Muhammad Fahad Munir

Quelle: Computers, Materials & Continua ; ISSN: 1546-2218 (Print) ; ISSN: 1546-2226 (Online) ; Volume 84 ; Issue 3

Schlagwörter: Wireless sensor networks (WSNs), machine learning based artificial neural networks (ANNs), energy consumption (EC), LEACH-D, sensor nodes (SNs), Bayesian Regularization Algorithm (BRA)

Dateibeschreibung: application/pdf

Relation: https://doi.org/10.32604/cmc.2025.064442

Verfügbarkeit: https://doi.org/10.32604/cmc.2025.064442

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

Autoren: Subburaman, Bhuvaneshwari Thangaraj, Vignesh Balu, Vadivel et al.

Quelle: Sensors (14248220); Nov2023, Vol. 23 Issue 21, p8790, 21p

Schlagwörter: DIFFERENTIAL amplifiers, LOW noise amplifiers, COMPLEMENTARY metal oxide semiconductors, MATHEMATICAL regularization, ALGORITHMS, REFLECTANCE