Open AccessResearch on the Application of Fractional Down in Neural Network Control System Based on Computer Technology
Author(s) -
Li Li,
Zhchao Xu,
Na Li
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1992/3/032016
Subject(s) - artificial neural network , computer science , field (mathematics) , artificial intelligence , control (management) , nervous system network models , variety (cybernetics) , information technology , telecommunications , data science , time delay neural network , probabilistic neural network , mathematics , pure mathematics , operating system
Since the establishment of the first network in the world in the 1970s, after several years of development, the network has become the most abundant information resource in the world. The network provides a variety of services for individuals, families, society and other institutions, such as video chat, data transmission, web services and so on. The 21st century has entered the information age, the development of information technology and the development of computer information combined to bring mankind into the beginning of the fifth information revolution. The development of science and technology brings automatic control into a new field, which requires network communication to realize industrial control. Artificial neural network is a system that imitates the synaptic connection of human brain to transmit information. It simulates the characteristics and structure of human brain neural network by mathematical method, and has the functions of memory, calculation and self-learning. Nowadays, artificial neural network has been paid attention to by many countries in the world, and it has been applied in many fields, such as scientists in the face of global warming, artificial neural network has been widely used.