Výsledky vyhledávání - "Gradient-based optimisation algorithms"

Comparative Analysis of Gradient-Based Optimizers in Feedforward Neural Networks for Titanic Survival Prediction

Autoři: I Putu Adi Pratama Ni Wayan Jeri Kusama Dewi

Zdroj: Indonesian Journal of Data and Science, Vol 6, Iss 1 (2025)

Témata: Feedforward Neural Networks (FNNs), Gradient-based Optimisation Algorithms, Learning Rate Scheduler, Titanic Survival Prediction, Computer software, QA76.75-76.765

Relation: https://jurnal.yoctobrain.org/index.php/ijodas/article/view/219; https://doaj.org/toc/2715-9930; https://doaj.org/article/f27e6e5b0e084b40af72e9a132b611ea

Dostupnost: https://doi.org/10.56705/ijodas.v6i1.219
https://doaj.org/article/f27e6e5b0e084b40af72e9a132b611ea

Shape-Programming in Hyperelasticity Through Differential Growth.

Autoři: Ortigosa-Martínez, Rogelio Martínez-Frutos, Jesús Mora-Corral, Carlos a další

Zdroj: Applied Mathematics & Optimization; Apr2024, Vol. 89 Issue 2, p1-41, 41p

Adjoint Based Aerodynamic Shape Optimisation Using Kinetic Meshfree Method.

Autoři: Malagi, Keshav S. Mamidi, Nischay R. Anil, Nemili a další

Zdroj: International Journal of Computational Fluid Dynamics; Mar2023, Vol. 37 Issue 3, p234-249, 16p

Témata: ADJOINT differential equations, SOBOLEV gradients, OPTIMIZATION algorithms, MESHFREE methods, TRANSONIC flow, SUPERSONIC flow, STRUCTURAL optimization

Shape-Programming in Hyperelasticity Through Differential Growth

Autoři: Francisco Fundación Séneca Agencia Estatal de Investigación a další

Témata: Soft robotics, Differential growth, Hyperelasticity, Shape-programming, Optimal control, Numerical simulation methods, journal article

URL: http://hdl.handle.net/10317/17563
https://link.springer.com/article/10.1007/s00245-024-10117-6
PID2022-141957OA-C22
21996/PI/22
Multiphysics-informed design of tunable smart materials
Multiphysics Informed Machine learning for Optimal control and design of Smart mAterials

Optimisation-Based Coupling of Finite Element Model and Reduced Order Model for Computational Fluid Dynamics

Autoři: Prusak, Ivan Torlo, Davide Nonino, Monica a další

Témata: Mathematics - Numerical Analysis, text

URL: http://arxiv.org/abs/2402.10570

End-to-end supply chain resilience management using deep learning, survival analysis, and explainable artificial intelligence.

Autoři: Li, Xingyu Krivtsov, Vasiliy Pan, Chaoye a další

Zdroj: International Journal of Production Research; Feb2025, Vol. 63 Issue 3, p1174-1202, 29p

Témata: SUPPLY chain management, SUPPLY chain disruptions, DATA privacy, ARTIFICIAL intelligence, DEEP learning

A CAD-Integrated Framework for Dynamic Structural Topology Optimisation via Visual Programming.

Autoři: Sardone, Laura Sotiropoulos, Stefanos Fiore, Alessandra

Zdroj: Computation; Nov2025, Vol. 13 Issue 11, p267, 32p

Témata: COMPUTER-aided design, STRUCTURAL optimization, DYNAMIC loads, FINITE element method, VISUAL programming (Computer science), GRAPHICAL user interfaces, STRUCTURAL analysis (Engineering), SOFTWARE frameworks

Reviews & Products: MATLAB (Computer software)

Evaluation of aeroacoustic optimisation strategies for a generic flight mission of a tilt-propeller aircraft.

Autoři: Bergmann, Ole Möhren, Felix Frey, David a další

Zdroj: CEAS Aeronautical Journal; Oct2025, Vol. 16 Issue 4, p1197-1211, 15p

Defect detection using integration of ultrasonic least-squares reverse time migration and generative adversarial network.

Autoři: Fan, Limei Xiao, Zhifei Dong, Fangxu a další

Zdroj: Nondestructive Testing & Evaluation; Sep2025, Vol. 40 Issue 9, p4009-4023, 15p

Témata: ULTRASONIC testing, GENERATIVE adversarial networks, NONDESTRUCTIVE testing, OUTLIER detection, ULTRASONIC imaging, IMAGE reconstruction, DEEP learning, HIGH density polyethylene

Remarks on Variational Sensitivity Analysis of Elastoplastic Deformations.

Autoři: Barthold, Franz-Joseph Liedmann, Jan

Zdroj: AIP Conference Proceedings; 2017, Vol. 1896 Issue 1, p1-6, 6p, 1 Diagram

Témata: MULTIDISCIPLINARY design optimization, COMBINATORIAL optimization, ELASTICITY, DEFORMATIONS (Mechanics), SINGULAR value decomposition

An Improved DE Algorithm to Optimise the Learning Process of a BERT-based Plagiarism Detection Model

Autoři: Moravvej, Seyed Vahid Seyed Jalaleddin, Mousavirad Oliva, Diego a další

Témata: Computer Engineering, Datorteknik, Conference paper, info:eu-repo/semantics/conferenceObject, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-52366
2022 IEEE Congress on Evolutionary Computation (CEC)

The automation of PDE-constrained optimisation and its applications

Autoři: Funke, Simon Gorman, Gerard Allison, Peter a další

Přispěvatelé: Funke, Simon Gorman, Gerard Allison, Peter a další

Témata: 515

Přístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.572247

Natural gradient for variational Bayesian learning

Additional Titles: Luonnollinen gradientti variaatio-Bayes-oppimisessa

Autoři: Honkela, Antti Informaatio- ja luonnontieteiden tiedekunta Karhunen, Juha a další

Témata: G2 Pro gradu, diplomityö

Robust and structure exploiting optimisation algorithms: an integral quadratic constraint approach.

Autoři: Michalowsky, Simon Scherer, Carsten Ebenbauer, Christian

Zdroj: International Journal of Control. Nov 2021, Vol. 94 Issue 11, p2956-2979. 24p.

Témata: *MATHEMATICAL optimization, *ROBUST optimization, *CONVEX functions, *INTEGRALS, *LINEAR matrix inequalities, *CONTINUOUS functions

Machine Learning-Driven Preventive Maintenance for Fibreboard Production in Industry 4.0.

Autoři: Suwatcharachaitiwong, Sirirat Sirivongpaisal, Nikorn Surasak, Thattapon a další

Zdroj: International Journal of Advanced Computer Science & Applications; 2025, Vol. 16 Issue 3, p942-950, 9p

Application of Machine Learning for Real-Time Structural Integrity Assessment of Bridges †.

Autoři: Jayasinghe, Sanduni Mahmoodian, Mojtaba Alavi, Azadeh a další

Zdroj: CivilEng; Mar2025, Vol. 6 Issue 1, p2, 30p

Témata: MACHINE learning, STRUCTURAL health monitoring, CYBER physical systems, IRON & steel bridges, STRUCTURAL reliability, FINITE element method, APPROXIMATION theory, CONDITION-based maintenance

Atomistic descriptor optimization using complementary Euclidean and geodesic distance information.

Autoři: Iyer, Gopal R. Rubenstein, Brenda M.

Zdroj: Molecular Physics; Feb2025, Vol. 123 Issue 4, p1-15, 15p

Témata: MACHINE learning, INFORMATION theory, GEODESIC distance, OPTIMIZATION algorithms, POTENTIAL energy surfaces

Optimal data-driven control of manufacturing processes using reinforcement learning: an application to wire arc additive manufacturing.

Autoři: Mattera, Giulio Caggiano, Alessandra Nele, Luigi

Zdroj: Journal of Intelligent Manufacturing; Feb2025, Vol. 36 Issue 2, p1291-1310, 20p

Témata: PROCESS control systems, ARTIFICIAL intelligence, INTELLIGENT control systems, NONLINEAR systems, MANUFACTURING processes

Optimisation–Based Coupling of Finite Element Model and Reduced Order Model for Computational Fluid Dynamics

Autoři: Ivan Prusak Davide Torlo Monica Nonino a další

Zdroj: Lecture Notes in Computational Science and Engineering ISBN: 9783031861680

Témata: coupling ROM FOM, 4. Education, FOS: Mathematics, Mathematics - Numerical Analysis, Numerical Analysis (math.NA)

Přístupová URL adresa: http://arxiv.org/abs/2402.10570

Electromagnetic optimisation using sensitivity analysis in the frequency domain.

Autoři: Li, D. Zhu, J. Nikolova, N. K. a další

Zdroj: IET Microwaves, Antennas & Propagation (Institution of Engineering & Technology); Aug2007, Vol. 1 Issue 4, p852-859, 8p, 4 Diagrams, 2 Charts, 10 Graphs

Témata: SYSTEM analysis, ELECTROMAGNETISM, CYBERNETICS, ELECTRONICS, JACOBIAN matrices, NUMERICAL analysis