Výsledky vyhledávání - Levenberg-Marquardt algorithm: parametric study

Impact of thermal radiations and viscous dissipation during the boundary layer non‐Newtonian fluid flow past a slender needle: Probed by machine learning: Impact of thermal radiations and viscous dissipation during the boundary layer non-Newtonian fluid flow past a slender needle: probed by machine learning

Autoři: Hongxing Yao Asad Ullah null Ikramullah a další

Zdroj: ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. 105

Témata: similarity transform, Non-Newtonian fluids, Learning and adaptive systems in artificial intelligence, Levenberg-Marquardt algorithm: parametric study, Joule heating, Magnetohydrodynamics and electrohydrodynamics, Basic methods in fluid mechanics, Diffusive and convective heat and mass transfer, heat flow, magnetic field, artificial neural network, Artificial neural networks and deep learning, Casson fluid

Popis souboru: application/xml

A hybrid analytical and data driven framework for optimizing radially grooved wet clutch geometry.

Autoři: Sadafi, Mohammad Najafi, Amir F. Jalali, Alireza

Zdroj: Scientific Reports; 11/27/2025, Vol. 15 Issue 1, p1-19, 19p

Témata: TORQUE, GENETIC algorithms, HYDRAULIC couplings, PREDICTION models, ARTIFICIAL neural networks, PARAMETRIC modeling, COMPUTER simulation, STRUCTURAL optimization

A Parametric Study for Convergence Improvement of the Ronen Method Through the DAAREM Algorithm.

Autoři: Cufe, Johan Tomatis, Daniele

Zdroj: Nuclear Science & Engineering; 2025 Suppl 1, Vol. 199, pS730-S743, 14p

Témata: NEUTRON transport theory, ALGORITHMS, ITERATIVE methods (Mathematics), TECHNOLOGY convergence, KRYLOV subspace, NUMERICAL solutions to equations

People: ANDERSON, Jonathan, 1984-

Parametric Study for Damage Optimization in Two-Stage Cold Extrusion Dies by Implementing Taguchi Method and ANN Method in Genetic Algorithm.

Autoři: Shamshiri, A. R. Poursina, M. Aboutalebi, F. Haji

Zdroj: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ); Feb2025, Vol. 50 Issue 4, p2663-2689, 27p

Témata: ARTIFICIAL neural networks, EXTRUSION process, COMPRESSION loads, TAGUCHI methods, DIES (Metalworking)

Delamination Prediction in Layered Composites Using Optimized ANN Algorithms: A Comparative Analysis.

Autoři: Balkan, Demet

Zdroj: Symmetry (20738994); Jan2025, Vol. 17 Issue 1, p91, 17p

Témata: ARTIFICIAL neural networks, ERROR rates, CRACK propagation, COMPOSITE materials, MANUFACTURING processes

Parametric Study on the Performance of Gas Springs in FPSE With Pneumatic Supporting System.

Autoři: Kong, Lingxuan Li, Jing Wu, Zhibo a další

Zdroj: Energy Science & Engineering; Aug2025, Vol. 13 Issue 8, p4059-4086, 28p

Témata: POWER density, STIRLING engines, ENERGY dissipation, PNEUMATICS, COMPUTER simulation, ENERGY conversion, AIR cylinders, RESEARCH evaluation

Surrogate modeling for aerodynamic static instability of central-slotted box decks using machine learning approaches.

Autoři: Elhassan, Mohammed Elhassan Omer Zhu, Le-Dong Alhaddad, Wael a další

Zdroj: Advances in Structural Engineering; Oct2024, Vol. 27 Issue 13, p2271-2288, 18p

Témata: ARTIFICIAL neural networks, AERODYNAMIC stability, WIND tunnel testing, OPTIMIZATION algorithms, WIND speed, AERODYNAMICS of buildings

PARAMETRIC MODELING OF RECYCLED BRICK AGGREGATE CONCRETE USING NEURAL NETWORK AND REGRESSION.

Autoři: Griño Jr, Albert A.

Zdroj: International Journal of GEOMATE; May2023, Vol. 24 Issue 105, p41-49, 9p

Témata: RECYCLED concrete aggregates, PARAMETRIC modeling, COMPRESSIVE strength, INDEPENDENT variables, MATHEMATICAL models, MINERAL aggregates

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

A Parametric Study of MPSO-ANN Techniques in Gas-Bearing Distribution Prediction Using Multicomponent Seismic Data.

Autoři: Yang, Jiuqiang Lin, Niantian Zhang, Kai a další

Zdroj: Remote Sensing; Aug2023, Vol. 15 Issue 16, p3987, 23p

Témata: GAS condensate reservoirs, PARTICLE swarm optimization, GAS reservoirs, SEISMIC response, SEISMOGRAMS, FORECASTING

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.

Hybrid ANN approach for prediction of lubricant retention in compressor suction lines based on analytical model and parametric study.

Autoři: Zeng, Weijie Gu, Bo Zhang, Zhiting a další

Zdroj: Science & Technology for the Built Environment; Sep2022, Vol. 28 Issue 8, p999-1011, 13p

Témata: PARAMETRIC modeling, ARTIFICIAL neural networks, COMPRESSORS, TRANSFER functions, INTERFACIAL friction

A Parametric Study on the Effect of FSW Parameters and the Tool Geometry on the Tensile Strength of AA2024–AA7075 Joints: Microstructure and Fracture.

Autoři: Beygi, Reza Zarezadeh Mehrizi, Majid Akhavan-Safar, Alireza a další

Zdroj: Lubricants (2075-4442); Feb2023, Vol. 11 Issue 2, p59, 18p

Témata: FRICTION stir welding, TENSILE strength, SIMULATED annealing, MULTILAYER perceptrons, GEOMETRY, MICROSTRUCTURE, DENTAL cements

Raising entire male pigs: comparison of growth performance and meat quality of the Bísara breed and a terminal cross - a pilot study.

Autoři: Pereira-Pinto, Ricardo Araújo, José Pedro Cerqueira, Joaquim a další

Zdroj: Frontiers in Animal Science. 2025, p1-8. 8p.

Strength Optimization of Nanocomposite Cementitious Materials Using Nanoscale Modifications.

Autoři: Das, Arpita Paul, Rajdip Saha, Showmen

Zdroj: Periodica Polytechnica: Civil Engineering; 2024, Vol. 68 Issue 3, p711-730, 20p

Témata: ARTIFICIAL neural networks, PARAMETRIC equations, NANOCOMPOSITE materials, MICROSCOPY, FLEXURAL strength

Intelligent Prediction of Asphalt Concrete Air Voids during Service Life Using Cubist and GBRT-Ensemble Learning Approaches Hybridized with an Equilibrium Optimizer Algorithm.

Autoři: Ghanizadeh, Ali Reza Tavana Amlashi, Amir Heidarabadizadeh, Nasrin a další

Zdroj: Journal of Materials in Civil Engineering; May2024, Vol. 36 Issue 5, p1-19, 19p

Témata: ASPHALT concrete, SERVICE life, ARTIFICIAL neural networks, CONCRETE durability, ASPHALT, STANDARD deviations

Application of metaheuristic algorithms in prediction of earthquake peak ground acceleration.

Autoři: Challagulla, Surya Prakash Suluguru, Ashok Kumar Noroozinejad Farsangi, Ehsan a další

Zdroj: Journal of Engineering; May2023, Vol. 2023 Issue 5, p1-12, 12p

Témata: EARTHQUAKES, METAHEURISTIC algorithms, ARTIFICIAL neural networks, SHEAR waves, REGRESSION analysis

Optimization of alongwind and crosswind force coefficients on a tall building with horizontal limbs using surrogate modeling.

Autoři: Paul, Rajdip Dalui, Sujit Kumar

Zdroj: Structural Design of Tall & Special Buildings; Mar2021, Vol. 30 Issue 4, p1-20, 20p

Témata: TALL buildings, TALL building design & construction, PARAMETRIC equations, WIND tunnel testing, CROSSWINDS, COMPUTATIONAL fluid dynamics, ARTIFICIAL neural networks

Parametric study of design factors on the performance of flexible solar modules.

Autoři: Alzoubi, Khalid Al-Momani, Emad Obeidat, Mohammed S. a další

Zdroj: International Journal of Green Energy; 2024, Vol. 21 Issue 5, p1136-1146, 11p

Témata: SOLAR cell design, EXPERIMENTAL design, SOLAR cells, PHOTOVOLTAIC power systems, BUILDING-integrated photovoltaic systems

Hybrid Nanofluid Flow and Heat Transfer in Inclined Porous Cylinders: A Coupled ANN and Numerical Investigation of MHD and Radiation Effects.

Autoři: Malik, Muhammad Fawad Aljethi, Reem Abdullah Shah, Syed Asif Ali a další

Zdroj: Symmetry (20738994); Nov2025, Vol. 17 Issue 11, p1998, 32p

Témata: HEAT transfer, NANOFLUIDS, HEAT radiation & absorption, FLUID dynamics, POROSITY, MAGNETOHYDRODYNAMICS, NUMERICAL analysis, ARTIFICIAL neural networks