Referenced Items are not available for this document.
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
Published in:
Neural Networks, 1990., 1990 IJCNN International Joint Conference on
Date of Conference: 17-21 June 1990
- Page(s):
- 1 - 6 vol.1
- INSPEC Accession Number:
- 3926554
- Conference Location :
- San Diego, CA, USA
- Digital Object Identifier :
- 10.1109/IJCNN.1990.137535
- Product Type:
- Conference Publications
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