Title :
The use of artificial neural networks for data analysis
Author :
Gavrilov, A.Y. ; Kangler, V.M.
Author_Institution :
Novosibirsk State Tech. Univ., Russia
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;
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
DOI :
10.1109/KORUS.1999.875919
