Výsledky vyhledávání - bayesian regularization backpropagation algorithm~

Effects of Hall Current and Thermal Radiation on the Time-Dependent Swirling Flow of Hybrid Nanofluids over a Disk Surface: A Bayesian Regularization Artificial Neural Network Approach

Autoři: Faisal Nazir Nirman Bhowmike Muhammad Zahid a další

Zdroj: AppliedMath, Vol 4, Iss 4, Pp 1503-1521 (2024)

Témata: (CoFe2O4-Al2O3) nanoparticles, Bayesian regularization backpropagation algorithm, hybrid nanofluid, heat source/sink, Hall current, QA1-939, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Mathematics, thermophoresis and Brownian motion

Přístupová URL adresa: https://doaj.org/article/1beadf1045464eac85c51b99a4c0a663

Prediction of GPS-TEC on Mw > 5 Earthquake Days Using Bayesian Regularization Backpropagation Algorithm

Autoři: Secil Karatay Saide Eda Gul

Zdroj: IEEE Geoscience and Remote Sensing Letters. 20:1-5

Bayesian regularization networks for micropolar ternary hybrid nanofluid flow of blood with homogeneous and heterogeneous reactions: Entropy generation optimization

Autoři: Bhupendra K. Sharma Parikshit Sharma Nidhish K. Mishra a další

Zdroj: Addi. Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
Alexandria Engineering Journal, Vol 77, Iss, Pp 127-148 (2023)

Témata: Curved artery, curved artery, Bayesian regularization backpropagation algorithm, bayesian regularization backpropagation algorithm, homogeneous and heterogeneous chemical reactions, Ternary hybrid nanofluid, TA1-2040, ternary hybrid nanofluid, Engineering (General). Civil engineering (General), Homogeneous and heterogeneous chemical reactions

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10810/62573
https://doaj.org/article/013e7edd47b84ab687d8e31b2de5f480

Comparative Study of Advance Smart Strain Approximation Method Using Levenberg-Marquardt and Bayesian Regularization Backpropagation Algorithm

Autoři: Amit Tyagi Ashwarya Sheel Wali

Zdroj: Materials Today: Proceedings. 21:1380-1395

Témata: 0103 physical sciences, 01 natural sciences, 0104 chemical sciences

Přístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S2214785320302418

Overfitting Prevention in Accident Prediction Models: Bayesian Regularization of Artificial Neural Networks

Autoři: Nicholas Fiorentini Diletta Pellegrini Massimo Losa

Zdroj: Transportation Research Record: Journal of the Transportation Research Board. 2677:1455-1470

Témata: accident prediction models, crash analysis, artificial neural networks, Bayesian regularization backpropagation algorithm, overfitting Issue, road safety, four-lane divided roads, 0502 economics and business, 05 social sciences

Popis souboru: application/pdf

Přístupová URL adresa: https://hdl.handle.net/11568/1189152
https://doi.org/10.1177/03611981221111367
https://hdl.handle.net/2158/1414472
https://doi.org/10.1177/03611981221111367

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

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

Bayesian regularization networks for micropolar ternary hybrid nanofluid flow of blood with homogeneous and heterogeneous reactions: Entropy generation optimization.

Autoři: Sharma, Bhupendra K. Sharma, Parikshit Mishra, Nidhish K. a další

Zdroj: Alexandria Engineering Journal. Aug2023, Vol. 77, p127-148. 22p.

Témata: Copper oxide, Bayesian analysis, Blood flow, Nanofluids, Ordinary differential equations, Curved surfaces

Artificial neural networks for predicting first-lactation 305-day milk yield in crossbred cattle.

Autoři: Usman, S. M. Dutt, T. Sahib, Q. S. a další

Zdroj: South African Journal of Animal Science. 2025, Vol. 55 Issue 1, p1-9. 9p.

Témata: Artificial neural networks, Standard deviations, Milk yield, Cattle crossbreeding, Regression analysis

Bayesian regularization networks for micropolar ternary hybrid nanofluid flow of blood with homogeneous and heterogeneous reactions: Entropy generation optimization

Autoři: Ingeniería Energética Energia Ingenieritza Sharma, Bhupendra K. a další

Témata: ternary hybrid nanofluid, curved artery, bayesian regularization backpropagation algorithm, homogeneous and heterogeneous chemical reactions, info:eu-repo/semantics/article

URL: http://hdl.handle.net/10810/62573
https://www.sciencedirect.com/science/article/pii/S1110016823005550
1110-0168
2090-2670
https://www.sciencedirect.com/science/article/pii/S1110016823005550

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

Autoři: Denizhan, Onur¹ (AUTHOR) onur.denizhan@batman.edu.tr

Zdroj: Alexandria Engineering Journal. Apr2024, Vol. 92, p39-49. 11p.

Témata: Machine learning, Slider-crank mechanisms, Artificial neural networks, Supervised learning, Internal combustion engines, Machine design

A Machine Learning Architecture Replacing Heavy Instrumented Laboratory Tests: In Application to the Pullout Capacity of Geosynthetic Reinforced Soils

Autoři: Ali, T. Haider, W. Ali, Nazakat a další

Zdroj: Sensors. 22(22)

Témata: ANN, Bayesian regularization, geosynthetic reinforced soil, machine learning, pullout capacity, weathered granite soil, Fuzzy neural networks, Granite, Learning algorithms, Mean square error, Multilayer neural networks, Network architecture, Quality assurance, Soil testing, Soils, Statistical tests, Geosynthetic reinforced soils, Granite soil, Laboratory test, Learning architectures, Machine-learning, Weathered granites, Laboratories

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-61156
https://doi.org/10.3390/s22228699

Comparison of Bayesian Regularized Neural Network, Random Forest Regression, Support Vector Regression and Multivariate Adaptive Regression Splines Algorithms to Predict Body Weight from Biometrical Measurements in Thalli Sheep.

Alternate Title: Thalli Koyunlarında Biyometrik Ölçümlerden Vücut Ağırlığı Tahmini İçin Bayesian Regularized Neural Network, Random Forest Regresyon, Support Vector Regresyon ve Çok Değişkenli Regresyon Uzanımları Algoritmalarının Karşılaştırılması

Autoři: TIRINK, Cem¹ cem.tirink@gmail.com

Zdroj: Kafkas Üniversitesi Veteriner Fakültesi Dergisi. May/Jun2022, Vol. 28 Issue 3, p411-419. 9p.

Témata: Random forest algorithms, Body weight, Splines, Sheep breeds, Sheep, Ear, Artificial neural networks

Optimization of Artificial Neural Networks using Genetic Algorithm for Palm Fruit Ripeness Classification

Autoři: Wan Zailah Wan Said Mohamed Ayman Mardini Noor Idayu Mohd Tahir a další

Zdroj: Journal of Advanced Research Design. 127:67-83

HGSmark: An efficient ECG watermarking scheme using hunger games search and Bayesian regularization BPNN.

Autoři: Sharma, Neeraj Kumar Kumar, Subodh Kumar, Naveen

Zdroj: Biomedical Signal Processing & Control. May2023, Vol. 83, pN.PAG-N.PAG. 1p.

Témata: Singular value decomposition, Curvelet transforms, Arrhythmia, Digital watermarking, Electrocardiography, Hunger, Metaheuristic algorithms, Watermarks

Comparison of Univariate and Multivariate Applications of GBLUP and Artificial Neural Network for Genomic Prediction of Growth and Carcass Traits in the Brangus Heifer Population.

Autoři: Peters, Sunday O. Kızılkaya, Kadir Sinecen, Mahmut a další

Zdroj: Ruminants. Jun2025, Vol. 5 Issue 2, p16-N.PAG. 18p.

Exploring the optimal design space of transparent perovskite solar cells for four-terminal tandem applications through Pareto front optimization.

Autoři: Tan, Hu Quee Zhao, Xinhai Ambardekar, Akhil a další

Zdroj: APL Machine Learning; Jun2024, Vol. 2 Issue 2, p1-9, 9p

Témata: SOLAR cells, PEROVSKITE, MULTIDISCIPLINARY design optimization, MACHINE learning, PREDICTION models, THICKNESS measurement

Predicting Weight Loss Success After Gastric Sleeve Surgery: A Machine Learning-Based Approach.

Autoři: Casas Domínguez, Mónica Herrena Montano, Isabel López Gómez, Juan José a další

Zdroj: Nutrients. Apr2025, Vol. 17 Issue 8, p1391. 13p.

Artificial intelligence and response surface methodology to predict CO2 capture using piperazine‐modified activated alumina.

Autoři: Noroozian, Mohadeseh Shahhosseini, Shahrokh Ghaemi, Ahad

Zdroj: Environmental Progress & Sustainable Energy; May2023, Vol. 42 Issue 3, p1-14, 14p

Témata: RESPONSE surfaces (Statistics), CARBON sequestration, ARTIFICIAL intelligence, PIPERAZINE, RADIAL basis functions, ALUMINUM oxide, ARTIFICIAL neural networks

Development of Computational Intelligence-based Control System using Backpropagation Neural Network for Wheeled Robot

Autoři: Medria Kusuma Dewi Hardhienata Iqbal Abiyoga Karlisa Priandana a další

Zdroj: 2018 International Conference on Electrical Engineering and Computer Science (ICECOS). :101-106

Témata: 0209 industrial biotechnology, 02 engineering and technology

Přístupová URL adresa: http://xplorestaging.ieee.org/ielx7/8589965/8605179/08605183.pdf?arnumber=8605183
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=8605183