Presentation | 1997/3/18 Stock Exchange Analysis as Time-Series Forecasting with Neural Nets Alexandra Ioana Cristea, Toshio Okamoto, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Stock Exchange Events(SEE)as Time-Series(TS)present the typical components of TS: Trend, Cyclus, Season, Irregular events. Neural Networks(NN)can be used as a tool to forecast SEE, at the level of three of the four components mentioned. The forth component requires an experience-based, therefore economy based learning method. Testing is performed by a program. Input data are: stock market prices, previously aquired information in form of a weights matrix, or new prices on the stock market. This 3-level hierarchy serves for the 3steps: training, testing, prediction. Current results will be presented and, as much as possible, comparison with former systems performed. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Neural Computing / Neural Networks / Stock Exchange / Time Series |
Paper # | AI96-44,KBSE96-34 |
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Conference Information | |
Committee | AI |
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Conference Date | 1997/3/18(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Stock Exchange Analysis as Time-Series Forecasting with Neural Nets |
Sub Title (in English) | |
Keyword(1) | Neural Computing |
Keyword(2) | Neural Networks |
Keyword(3) | Stock Exchange |
Keyword(4) | Time Series |
1st Author's Name | Alexandra Ioana Cristea |
1st Author's Affiliation | The Graduate School of Information Systems,University of Electro-Commnnications() |
2nd Author's Name | Toshio Okamoto |
2nd Author's Affiliation | The Graduate School of Information Systems,University of Electro-Commnnications |
Date | 1997/3/18 |
Paper # | AI96-44,KBSE96-34 |
Volume (vol) | vol.96 |
Number (no) | 594 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |