Suchergebnisse - "Bayesian Regularization Algorithm"

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

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

Time Series Modeling of Global Average Absolute Sea Level Change

Autoren: Chi, Yeong Nain

Quelle: American Journal of Environment and Climate; Vol. 2 No. 3 (2023): American Journal of Environment and Climate; 81-90 ; 2832-403X ; 10.54536/ajec.v2i3

Schlagwörter: ARIMA, Bayesian Regularization Algorithm, Global Average Absolute Sea Level Change, HYBRID ARIMA-NARNN, Levenberg-Marquardt Algorithm, Mean Squared Error, Modeling, NARNN, Scaled Conjugate Gradient Algorithm, Time Series

Dateibeschreibung: application/pdf

Relation: https://journals.e-palli.com/home/index.php/ajec/article/view/2093/1043; https://journals.e-palli.com/home/index.php/ajec/article/view/2093

Verfügbarkeit: https://journals.e-palli.com/home/index.php/ajec/article/view/2093
https://doi.org/10.54536/ajec.v2i3.2093

DEVELOPMENT OF AN ALGORITHM FOR OPTIMIZING NEURAL NETWORK TRAINING WHEN DETERMINING THE NUMBER OF NEURONS IN A HIDDEN LAYER IN ORDER TO INCREASE THE PROBABILITY OF RECOGNIZING IMAGES OF A GROUND TARGET

Autoren: A.I. Godunov S.V. Shishkov S.T. Balanyan et al.

Quelle: Надежность и качество сложных систем, Iss 4 (2022)

Schlagwörter: optimization, neural network, hidden layer, neural network training, levenberg – marquardt algorithm, bayesian regularization algorithm, scalable conjugate gradient algorithm, recognition, probability, goal, Motor vehicles. Aeronautics. Astronautics, TL1-4050

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2307-4205

Zugangs-URL: https://doaj.org/article/316413583a8f47dcab143a28c8d8c763

Prediction of Casing Collapse Strength Based on Bayesian Neural Network

Autoren: Dongfeng Li Heng Fan Rui Wang et al.

Quelle: Processes ; Volume 10 ; Issue 7 ; Pages: 1327

Schlagwörter: casing collapse strength, Bayesian regularization algorithm, artificial neural network

Geographisches Schlagwort: agris

Dateibeschreibung: application/pdf

Relation: Process Control and Monitoring; https://dx.doi.org/10.3390/pr10071327

Verfügbarkeit: https://doi.org/10.3390/pr10071327

Probabilistic Fatigue Life Prediction of Dissimilar Material Weld Using Accelerated Life Method and Neural Network Approach

Autoren: Hafiz Waqar Ahmad Jeong Ho Hwang Kamran Javed et al.

Quelle: Computation, Vol 7, Iss 1, p 10 (2019)

Schlagwörter: fatigue life prediction, accelerated life testing, Weibull distribution, artificial neural network, bayesian regularization algorithm, dissimilar material weld, Electronic computers. Computer science, QA75.5-76.95

Relation: https://www.mdpi.com/2079-3197/7/1/10; https://doaj.org/toc/2079-3197; https://doaj.org/article/18429c7c672c42cb96440e502b659885

Verfügbarkeit: https://doi.org/10.3390/computation7010010
https://doaj.org/article/18429c7c672c42cb96440e502b659885

Sap flow simulation of Cunninghamia lanceolata in degraded red soil region based on back propagation neural network

Autoren: Tu Jie Liu Qijing Wei Jun et al.

Quelle: 浙江大学学报. 农业与生命科学版, Vol 41, Pp 205-212 (2015)

Schlagwörter: Cunninghamia lanceolata, sap flow, Bayesian regularization algorithm, Levenberg-Marquardt algorithm, back propagation neural network, Biology (General), QH301-705.5, Agriculture (General), S1-972

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1008-9209; https://doaj.org/toc/2097-5155

Zugangs-URL: https://doaj.org/article/e5ed2411e6ba4b05b8aa714e0d6fa183

Modeling and simulation of co-digestion performance with artificial neural network for prediction of methane production from tea factory waste with co-substrate of spent tea waste

Autoren: Ozarslan, Saliha Abut, Serdar Atelge, M. R. et al.

Quelle: Fuel. 306:121715

Schlagwörter: Tea factory waste, Spent tea waste, 13. Climate action, ANN modeling, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Biogas, ANN simulation, 02 engineering and technology, Bayesian regularization algorithm, 7. Clean energy, 6. Clean water, 12. Responsible consumption

Zugangs-URL: https://www.sciencedirect.com/science/article/pii/S0016236121015969
https://avesis.erciyes.edu.tr/publication/details/68bd8e85-0dab-4cfa-8cdb-4de932786064/oai
https://hdl.handle.net/20.500.12604/6505

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

Autoren: Xinyong Zhang Liwei Sun

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

Schlagwörter: 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

Dateibeschreibung: application/pdf

Zugangs-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

การวัดปริมาณยางแห้งด้วยวงจรหกพอร์ต ; Dry Rubber Content Measurement Using A Six-Port Circuit

Autoren: ศรัณย์ ตันติวิชช์ มิตรชัย จงเชี่ยวชำนาญ Faculty of Engineering Electrical Engineering et al.

Weitere Verfasser: ศรัณย์ ตันติวิชช์ มิตรชัย จงเชี่ยวชำนาญ Faculty of Engineering Electrical Engineering et al.

Schlagwörter: Dry rubber content (%DRC), The six-port reflectometer technique (SPR), The Neural Network technique, Bayesian Regularization algorithm (BRA), Levenberg-Marquardt algorithm (LMA), Scaled Conjugate Gradient (SCG), โครงข่ายประสาทเทียม

Dateibeschreibung: application/pdf

Relation: http://kb.psu.ac.th/psukb/handle/2016/17941

Verfügbarkeit: http://kb.psu.ac.th/psukb/handle/2016/17941

Predicting solubility index of roller dried goat whole milk powder using Bayesian regularization ANN models

Autoren: Goyal, S. K. Goyal, G.

Quelle: Scientific Journal of Zoology; Vol. 1 No. 3 (2012): October; 61-68 ; 2322-293X

Schlagwörter: Solubility index, Artificial neural network, Bayesian regularization algorithm, Goat, Milk powder

Dateibeschreibung: application/pdf

Relation: http://www.sjournals.com/index.php/sjz/article/view/1183/1190; http://www.sjournals.com/index.php/sjz/article/view/1183

Verfügbarkeit: http://www.sjournals.com/index.php/sjz/article/view/1183

Artificial Neural Network Modeling for Groundwater Level Forecasting in a River Island of Eastern India ; Not Available

Autoren: Sheelabhadra Mohanty Madan K. Jha Ashwani Kumar et al.

Schlagwörter: Artificial neural network, Groundwater level prediction, Backpropagation GDX algorithm, Lavenberg-Marquardt algorithm, Bayesian regularization algorithm, River island

Relation: Not Available; http://krishi.icar.gov.in/jspui/handle/123456789/6340

Verfügbarkeit: http://krishi.icar.gov.in/jspui/handle/123456789/6340