Artificial neural network implementation for stock forecasting

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Artificial neural network implementation for stock forecasting

Surya, Andrianto - Personal Name; Lukas - Personal Name;

The primary purpose of this thesis is to implement neural network for stock forecast.rnIn this thesis, I use Telkom, Indosat, Excelcomindo as a data set of stock prices. I usernneural network because neural network has ability to extract useful information fromrnlarge sets of data to find the pattern. The few step of neural network in order to predict the future values are train various data sets, detect the pattern and make simulation to predict the future prices. The system is expected to be able help the people in forecasting future values and to give recommendation when they manage their stock.

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B00468 (wh) Available

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Series Title: -
Call Number: 468
Publisher: : Swiss German University., 2009
Collation: -
Language: English
ISBN/ISSN: -
Classification: NONE
Content Type: -
Media Type: -
Carrier Type: -
Edition: -
Subject(s): IT
Specific Detail Info: -
Statement of Responsibility: -

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