Zobrazeno 1 - 10
of 7 925
pro vyhledávání: '"LEVENBERG-MARQUARDT"'
Autor:
Hongwei MA, Hao SU, Xusheng XUE, Chao LI, Yifeng GUO, Xing WANG, Wenjian ZHOU, Wenda CUI, Zukun YU, Jiashuai CHENG
Publikováno v:
Meitan kexue jishu, Vol 52, Iss 11, Pp 60-73 (2024)
Aiming at the difficulties of mobile robots in the underground tunnel of a coal mine, such as difficult position sensing and low positioning accuracy due to the influence of the environment, a precise positioning method for mobile robots using laser
Externí odkaz:
https://doaj.org/article/e651e776613041cab1ab5c5760bf7f50
Autor:
Твёрдый, Д.А., Макаров, Е.О.
Publikováno v:
Vestnik KRAUNC: Fiziko-Matematičeskie Nauki, Vol 49, Iss 4, Pp 135-156 (2024)
Математические модели некоторых динамических процессов можно существенно уточнить, используя в них производные и интегралы нецелого п
Externí odkaz:
https://doaj.org/article/f72bdb4a396b47deaf7aa2b44f459cfb
Publikováno v:
AIMS Mathematics, Vol 9, Iss 11, Pp 32272-32298 (2024)
In this paper, the neural network domain with the backpropagation Levenberg-Marquardt scheme (NNB-LMS) is novel with a convergent stability and generates a numerical solution of the impact of the magnetohydrodynamic (MHD) nanofluid flow over a rotati
Externí odkaz:
https://doaj.org/article/3a7bd86211f149b1b73c6a7e64dab749
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
Publikováno v:
Discover Applied Sciences, Vol 6, Iss 10, Pp 1-17 (2024)
Abstract In this study, we systematically investigate an inverse method for heterogeneous porous media to obtain porosity and permeability fields considering only production well data. The forward modeling of the input data, namely pressure and satur
Externí odkaz:
https://doaj.org/article/2854b6007bc344b286cc23790ddf5dc0
Publikováno v:
AIMS Mathematics, Vol 9, Iss 9, Pp 24610-24635 (2024)
In this paper, aiming at the nonlinear equations, a new two-step Levenberg–Marquardt method was proposed. We presented a new Levenberg–Marquardt parameter to obtain the trial step. A new modified Metropolis criterion was used to adjust the upper
Externí odkaz:
https://doaj.org/article/61e3be6c6bc44ea38eeed51b8d06604c
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