
Assessment of the effectiveness of immune neural network
Author(s) -
Konstantin Zhigalov,
Елена Похомчикова,
Marina Sygotina
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1111/1/012023
Subject(s) - artificial neural network , boom , computer science , quality (philosophy) , artificial intelligence , engineering , philosophy , epistemology , environmental engineering
Nowadays the information technology industry is facing a boom in the research of neural networks and related technologies. Networks are used almost everywhere. However, the question of their effectiveness is omitted. Although there is a growing need to move from quantity to quality. The paper considers a variant of the assessment of the effectiveness of the immune neural network with an example.