Zobrazeno 1 - 10
of 76
pro vyhledávání: '"78-02"'
Autor:
Astar, W.
The nonlinear coefficient {\gamma} of the step-index single-mode fiber (SMF) is inversely proportional to the effective area of that fiber. An analytical expression for the effective area of the hybrid HE11-mode of the SMF is derived for the first ti
Externí odkaz:
http://arxiv.org/abs/2101.07842
Autor:
Yang Guang, Gu Hong
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In this paper, we propose a distributed secondary FM control method for microgrids to address the problem that the operating cost of microgrids increases significantly under load dropout and use the consistency algorithm to make the system reasonably
Externí odkaz:
https://doaj.org/article/cb1440e274184859a05bc90e897b4818
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This study employs An evolutionary algorithm to set up a multilayer BP neural network. The goal is to solve the issue that BP neural systems converge slowly and readily fall into local optimal solutions. The genetic algorithm reaches an initial set o
Externí odkaz:
https://doaj.org/article/f4e61d9bae734f3fa39cda850a9de0ec
Autor:
Li Wen
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper first applies Multi-Agents’ distributed data management model to establish an enterprise economic data mining platform, combined with a clustering algorithm to extract valuable economic data from a multi-source heterogeneous enterprise d
Externí odkaz:
https://doaj.org/article/16524f4d4e9d451eb4b1e1892cb4b84d
Autor:
Zhou Xiaoyan
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In this paper, we measure the effectiveness of recommendations using the provider coverage of reinforcement learning algorithms under new media videos, using parameters smaller than the state space to estimate the value function. The reinforcement le
Externí odkaz:
https://doaj.org/article/db0676f0295c48b987efd8649d157363
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Based on knowledge mapping, this paper designs the application architecture of the scientific and technological knowledge management system for the power grid industry and proposes the design of key modules such as knowledge extraction, knowledge fus
Externí odkaz:
https://doaj.org/article/01294c259f044a999e0b591435103fe3
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Facing the complex knowledge of power grid enterprises, this paper builds and designs a system for sharing project knowledge. The design pattern of MVC is adopted as the business logic architecture of the system, and a large-scale distributed applica
Externí odkaz:
https://doaj.org/article/008bdaf920174843a348cd36586081b6
Autor:
Yin Zhihong
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In this paper, firstly, on the basis of Marx’s theory of intersubjectivity, we use the concept of teachers and students as the main body of each other to construct the interactive teaching mode and mechanism of teachers and students in Civics cours
Externí odkaz:
https://doaj.org/article/8dbc5bbb86274cc1901e329aa82cd114
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In this paper, the constraints faced by the power sector in terms of energy, economy and ecology are first studied in depth, and the relationship between investment efficiency and new power development is explored by using the Data Envelopment Analys
Externí odkaz:
https://doaj.org/article/7efe41bfdb6c430f9d98b599e75d4dff
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Digital technology is leading fundamental innovation and development, and digitalization represents a great opportunity for the energy industry to take off and develop. In this paper, digital and intelligent technologies are used to integrate, analyz
Externí odkaz:
https://doaj.org/article/cd67a58c76de4cf5a137c227a8171236