DocumentCode
2692393
Title
Stock market prediction system with modular neural networks
Author
Kimoto, Tatsuya ; Asakawa, K. ; Yoda, M. ; Takeoka, Masahiro
fYear
1990
fDate
17-21 June 1990
Firstpage
1
Abstract
A discussion is presented of a buying- and selling-time prediction system for stocks on the Tokyo Stock Exchange and the analysis of internal representation. The system is based on modular neural networks. The authors developed a number of learning algorithms and prediction methods for the TOPIX (Tokyo Stock Exchange Prices Indexes) prediction system. The prediction system achieved accurate predictions, and the simulation on stocks trading showed an excellent profit
Keywords
financial data processing; learning systems; neural nets; stock markets; TOPIX; Tokyo Stock Exchange; learning algorithms; modular neural networks; prediction system;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1990., 1990 IJCNN International Joint Conference on
Conference_Location
San Diego, CA, USA
Type
conf
DOI
10.1109/IJCNN.1990.137535
Filename
5726498
Link To Document