|Title of the article||
STRONG ARTIFICIAL INTELLIGENCE: IMPROVING THE QUALITY OF NEURAL NETWORK SOLUTIONS WITH THE TRANSITION TO PROCESSING INPUT DATA OF A LARGE VOLUME
Alexander I. Ivanov, Doctor of technical sciences, associate professor, consultant, Penza Research Electrotechnical Institute (9 Sovetskaya street, Penza, Russia), E-mail: email@example.com
Background. The article examines the ways to solve the actual problem of translating applications of "weak" artificial intelligence into applications of "strong" artificial intelligence, used in the interests of improving the reliability and quality of complex technical systems. The possibility of improving the quality of neural network solutions with the transition to processing large-volume input data is justified.
artificial intelligence, neural networks, quality of neural network solutions, big data
Дата обновления: 26.05.2021 16:20