Zobrazeno 1 - 10
of 3 819
pro vyhledávání: '"levenberg-marquardt algorithm"'
Publikováno v:
Vestnik KRAUNC: Fiziko-Matematičeskie Nauki, Vol 48, Iss 3, Pp 95-119 (2024)
Радон — инертный радиоактивный газ, исследования вариаций которого в сопоставлении с сейсмичностью считаются перспективными для целе
Externí odkaz:
https://doaj.org/article/a0987c4cccd34767b78e78d363d4e760
Autor:
Твёрдый, Д.А., Паровик, Р.И.
Publikováno v:
Vestnik KRAUNC: Fiziko-Matematičeskie Nauki, Vol 47, Iss 2, Pp 35-57 (2024)
При решении задач математического моделирования часто приходится обращаться к теории интегрально-дифференциального исчисления. С ее п
Externí odkaz:
https://doaj.org/article/60cbc91a8e62434381987c21b700eb8b
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract In the present work, a simple intelligence-based computation of artificial neural networks with the Levenberg-Marquardt backpropagation algorithm is developed to analyze the new ferromagnetic hybrid nanofluid flow model in the presence of a
Externí odkaz:
https://doaj.org/article/a9f65d50ab4041519c59d83f17c36f21
Autor:
Farshid Mehrdoust, Maryam Noorani
Publikováno v:
Mathematics and Modeling in Finance, Vol 4, Iss 1, Pp 67-82 (2024)
This study suggests a novel approach for calibrating European option pricing model by a hybrid model based on the optimized artificial neural network and Black-Scholes model. In this model, the inputs of the artificial neural network a
Externí odkaz:
https://doaj.org/article/e05692fb58e74d93ad9aadcfa6b0a4a8
Autor:
Muhammad Asif Zahoor Raja, Atifa Latif, Muntaha Khalid, Kottakkaran Sooppy Nisar, Muhammad Shoaib
Publikováno v:
Case Studies in Thermal Engineering, Vol 64, Iss , Pp 105411- (2024)
This study aims to develop an efficient predictive model for Cattaneo-Christov heat and mass transformation of dissipative Williamson fluid with the effects of double stratification (CCHMT-DWF-DS) using the Levenberg-Marquardt Backpropagation (LMA-BP
Externí odkaz:
https://doaj.org/article/d67e35f2f21c4e58b79bff7d24895482
Autor:
Hamid Qureshi, Amjad Ali Pasha, Zahoor Shah, Muhammad Asif Zahoor Raja, Salem Algarni, Talal Alqahtani, Kashif Irshad, Waqar Azeem Khan
Publikováno v:
Case Studies in Thermal Engineering, Vol 60, Iss , Pp 104599- (2024)
This article explores the enhancement of thermal exchange in a dissipative Triple-nanoparticle (Al2O3+CuO+Cu) hybrid fluid over a stretchable wavy cylindrical surface with slip effect, incorporating Python bvp algorithm with artificial intelligence A
Externí odkaz:
https://doaj.org/article/42f4e5216de64aea94bc5324b9c11a8a
Autor:
Aamra Urooj, Qazi Mahmood Ul Hassan, Muhammad Asif Zahoor Raja, Kamran Ayub, Kottakkaran Sooppy Nisar, Muhammad Shoaib
Publikováno v:
Results in Engineering, Vol 22, Iss , Pp 102209- (2024)
Artificial neural networks (ANNs) have brought a huge transformation to the machine learning regime by furnishing unparalleled abilities for modeling intricate phenomena and coping with a variety of challenges. In the oneiric field of ANNs, the essen
Externí odkaz:
https://doaj.org/article/180a2bf31d5947188c1ffdf9122f6f30
Publikováno v:
ETRI Journal, Vol 45, Iss 6, Pp 1065-1078 (2023)
In vehicular networks, diverse safety information can be shared among vehicles through internet connections. In vehicle-to-internet communications, vehicles on the road are wirelessly connected to different cloud networks, thereby accelerating safety
Externí odkaz:
https://doaj.org/article/4d74198bf5e3460aa923d151ad6fb134
Publikováno v:
ICT Express, Vol 9, Iss 6, Pp 1040-1046 (2023)
Intelligent reflecting surfaces (IRS) can effectively improve the system performance of non-orthogonal multiple access (NOMA) systems. In this paper, we propose a Levenberg–Marquardt algorithm-based supervised learning network (LMA-SLN) to maximize
Externí odkaz:
https://doaj.org/article/262329eb322144908ef2789821b218d9