DocumentCode
358061
Title
The use of artificial neural networks for data analysis
Author
Gavrilov, A.Y. ; Kangler, V.M.
Author_Institution
Novosibirsk State Tech. Univ., Russia
Volume
1
fYear
1999
fDate
1999
Firstpage
257
Abstract
The principles of application of the Hopfield neural network for data analysis is proposed. Artificial neural networks are used for realization of associative memory, representing information contents of a relational database (DB). This approach is used to solve the task of detection of associative interrelations between fields of a database and forecasting values
Keywords
Hopfield neural nets; content-addressable storage; data analysis; relational databases; DB; Hopfield neural network; artificial neural networks; associative interrelations; associative memory; data analysis; forecasting; information contents; relational database; Artificial neural networks; Associative memory; Computer science; Data analysis; Data mining; Electronic mail; Hopfield neural networks; Investments; Predictive models; Relational databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Science and Technology, 1999. KORUS '99. Proceedings. The Third Russian-Korean International Symposium on
Conference_Location
Novosibirsk
Print_ISBN
0-7803-5729-9
Type
conf
DOI
10.1109/KORUS.1999.875919
Filename
875919
Link To Document