Výsledky vyhledávání - Bayesian regulation backpropagation algorithm*

Variational Bayes and the Principal Component Analysis Coupled With Bayesian Regulation Backpropagation Network to Retrieve Total Precipitable Water (TPW) From GCOM-W1/AMSR2

Autoři: Prashant K. Srivastava Tanvir Islam George P. Petropoulos

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8:4819-4824

Témata: 2. Zero hunger, 13. Climate action, 01 natural sciences, 0105 earth and related environmental sciences

Přístupová URL adresa: http://hdl.handle.net/2160/36271

Artificial Neural Network-Based Fault Identification for Grid-Connected Electric Traction Network

Autoři: Shwe Myint Prasenjit Dey Phumin Kirawanich a další

Zdroj: IEEE Access, Vol 12, Pp 162238-162250 (2024)

Témata: Karrenbauer transform, ANN classifier, traveling wave, fault identification, Electrical engineering. Electronics. Nuclear engineering, Bayesian regulation backpropagation, Daubechies-6 mother wavelet, TK1-9971

Přístupová URL adresa: https://doaj.org/article/102742dc18644fe3ae67fce3d159ceba

Variational Bayes and the Principal Component Analysis Coupled With Bayesian Regulation Backpropagation Network to Retrieve Total Precipitable Water (TPW) From GCOM-W1/AMSR2.

Autoři: Islam, Tanvir Srivastava, Prashant K. Petropoulos, George P.

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing; Oct2015, Vol. 8 Issue 10, p4819-4824, 6p

Human Walking Gait Classification Utilizing an Artificial Neural Network for the Ergonomics Study of Lower Limb Prosthetics.

Autoři: Putri, Farika Tono Caesarendra, Wahyu Królczyk, Grzegorz a další

Zdroj: Prosthesis (2673-1592); Sep2023, Vol. 5 Issue 3, p647-665, 19p

Témata: ARTIFICIAL limbs, GAIT in humans, MACHINE learning, WEARABLE technology, ERGONOMICS, LEG, WALKING, HAMSTRING muscle, CALF muscles, ARTIFICIAL neural networks, ELECTROMYOGRAPHY

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.

A comparison of neural network backpropagation algorithms for electricity load forecasting

Autoři: Brian Lee Chunrong Zhang Xinxing Pan

Zdroj: 2013 IEEE International Workshop on Inteligent Energy Systems (IWIES). :22-27

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

Přístupová URL adresa: https://ieeexplore.ieee.org/abstract/document/6698556

The Prediction of Photoelectric Factor, Formation True Resistivity, and Formation Water Saturation from Petrophysical Well Log Data: A Committee Neural Network Approach.

Autoři: Asoodeh, M. Shadizadeh, S. R.

Zdroj: Energy Sources Part A: Recovery, Utilization & Environmental Effects; 2015, Vol. 37 Issue 5, p557-566, 10p

Témata: NEURAL circuitry, PHOTOELECTRICAL research, HYDROCARBON reservoirs, ARTIFICIAL neural networks, ALGORITHMS, GENETIC algorithms

Backpropagation and the brain.

Autoři: Lillicrap TP Santoro A Marris L a další

Zdroj: Nature reviews. Neuroscience [Nat Rev Neurosci] 2020 Jun; Vol. 21 (6), pp. 335-346. Date of Electronic Publication: 2020 Apr 17.

Způsob vydávání: Journal Article; Review

Informace o časopise: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 100962781 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1471-0048 (Electronic) Linking ISSN: 1471003X NLM ISO Abbreviation: Nat Rev Neurosci Subsets: MEDLINE

Výrazy ze slovníku MeSH: Feedback*, Cerebral Cortex/*physiology , Learning/*physiology, Algorithms ; Animals ; Humans ; Models, Neurological ; Neural Networks, Computer

Optimal artificial neural network design for simultaneous modeling of multicomponent adsorption.

Autoři: Pauletto, Paola S. Dotto, Guilherme L. Salau, Nina P.G.

Zdroj: Journal of Molecular Liquids. Dec2020:Part A, Vol. 320, pN.PAG-N.PAG. 1p.

Témata: *ARTIFICIAL neural networks, *ADSORBATES, *LANGMUIR isotherms, *ADSORPTION isotherms, *ADSORPTION (Chemistry), *ADSORPTION capacity, *METHYLENE blue

Scaled UKF-NARX hybrid model for multi-step-ahead forecasting of chaotic time series data.

Autoři: Abdulkadir, Said Yong, Suet-Peng

Zdroj: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Dec2015, Vol. 19 Issue 12, p3479-3496, 18p

Témata: KALMAN filtering, ARTIFICIAL neural networks, AUTOREGRESSIVE models, BAYESIAN analysis, COMPUTER network architectures

A comparison of neural network backpropagation algorithms for electricity load forecasting.

Autoři: Xinxing Pan Lee, Brian Chunrong Zhang

Zdroj: 2013 IEEE International Workshop on Intelligent Energy Systems (IWIES); 2013, p22-27, 6p

A decision support system to determine optimal ventilator settings.

Autoři: Akbulut, Fatma Patlar Akkur, Erkan Akan, Aydin a další

Zdroj: BMC Medical Informatics & Decision Making; 2014, Vol. 14 Issue 1, p1-23, 23p, 3 Diagrams, 3 Charts, 7 Graphs

Témata: MECHANICAL ventilators, RESPIRATORY infection treatment, HOSPITAL care, VITAL signs, BODY fluid pressure, VOLUNTEER workers in camp sites, facilities, etc.

Prediction of pool boiling heat transfer coefficient for various nano-refrigerants utilizing artificial neural networks.

Autoři: Zarei, M. J. Ansari, H. R. Keshavarz, P. a další

Zdroj: Journal of Thermal Analysis & Calorimetry; Mar2020, Vol. 139 Issue 6, p3757-3768, 12p

Témata: EBULLITION, ARTIFICIAL neural networks, HEAT transfer coefficient, TRANSFER functions, REFRIGERANTS, THERMAL conductivity

Blood Glucose Prediction from Nutrition Analytics in Type 1 Diabetes: A Review.

Autoři: Lubasinski, Nicole Thabit, Hood Nutter, Paul W. a další

Zdroj: Nutrients. Jul2024, Vol. 16 Issue 14, p2214. 20p.

Artificial neural network based chaotic generator for cryptology.

Autoři: DALKIRAN, İlker DANIŞMAN, Kenan

Zdroj: Turkish Journal of Electrical Engineering & Computer Sciences; 2010, Vol. 18 Issue 2, p225-240, 16p, 2 Black and White Photographs, 6 Diagrams, 4 Charts, 4 Graphs

Témata: CRYPTOGRAPHY, ARTIFICIAL neural networks, CHAOS theory, ALGORITHMS, CASE studies

Determination of Patient-Specific Blood Coagulation Kinetic Parameters via Neural Networks: Toward Thrombosis Prediction in Personalized Medicine.

Autoři: Al Bannoud M Martins TD de Lima Montalvão SA a další

Zdroj: Annals of biomedical engineering [Ann Biomed Eng] 2025 Nov; Vol. 53 (11), pp. 2795-2827. Date of Electronic Publication: 2025 Sep 18.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Springer Science + Business Media Country of Publication: United States NLM ID: 0361512 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-9686 (Electronic) Linking ISSN: 00906964 NLM ISO Abbreviation: Ann Biomed Eng Subsets: MEDLINE

Výrazy ze slovníku MeSH: Neural Networks, Computer* , Precision Medicine* , Thrombin*/metabolism , Thrombin*/biosynthesis , Blood Coagulation* , Thrombosis*/blood , Models, Cardiovascular*, Humans ; Kinetics ; Male ; Female ; Middle Aged

Investigation of dissimilar laser welding of stainless steel 304 and copper using the artificial neural network model.

Autoři: Algehyne, Ebrahem A. Saeed, Tareq Ibrahim, Muhammad a další

Zdroj: Journal of Laser Applications; May2021, Vol. 33 Issue 2, p1-12, 12p

Témata: ARTIFICIAL neural networks, LASER welding, STAINLESS steel welding, COPPER welding, BACK propagation

A Bayesian regularized feed-forward neural network model for conductivity prediction of PS/MWCNT nanocomposite film coatings.

Autoři: Demirbay, Barış Kara, Duygu Bayram Uğur, Şaziye

Zdroj: Applied Soft Computing. Nov2020, Vol. 96, pN.PAG-N.PAG. 1p.

Témata: Artificial neural networks, Composite membranes (Chemistry), Standard & Poor's 500 Index, Electric conductivity, Prediction models, Molecular weights

Optimization and prediction of Rhodamine B uptake onto alkali-functionalized sugarcane bagasse biochar: Krill Herd algorithm-based ANN modelling approach.

Autoři: Mayilswamy N Kandasubramanian B Warjurkar T a další

Zdroj: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2025 Jul 02. Date of Electronic Publication: 2025 Jul 02.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1614-7499 (Electronic) Linking ISSN: 09441344 NLM ISO Abbreviation: Environ Sci Pollut Res Int Subsets: MEDLINE

Three-dimensional graphene network supported nickel-cobalt bimetallic alloy nanocatalyst for hydrogen production by hydrolysis of sodium borohydride and developing of an artificial neural network modeling to forecast hydrogen production rate.

Autoři: Karaman, Onur¹ (AUTHOR) onurkaraman@akdeniz.edu.tr

Zdroj: Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A. May2022, Vol. 181, p321-330. 10p.

Témata: *SODIUM borohydride, *INTERSTITIAL hydrogen generation, *ARTIFICIAL neural networks, *HYDROGEN production, *SOCIAL networks, *HYDROLYSIS