Using Hybrid Artificial Neural Networks of Back Propagation and Kohonen Self Organizing Map (SOM) to Predict Stock Prices

Using Hybrid Artificial Neural Networks of Back Propagation and Kohonen Self Organizing Map (SOM) to Predict Stock Prices

In this paper, a hybrid model of artificial neural networks is designed and used to evaluate the prediction ability of this hybrid model with individual Back Propagation feed forward. This study employs hybrid artificial neural networks consisting of Back Propagation and Kohonen Self Organizing Map...

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Bibliographic Details
Main Authors: Payam Hanafizadeh, Abolfazl Jafari
Format: Article
Language:fas
Published: Allameh Tabataba'i University Press 2010-12-01
Series:Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī
Subjects:
prediction
stock price
self organizing map (som)
feed forward neural networks
Online Access:https://jims.atu.ac.ir/article_4475_e4a265a70730df76499409030e686824.pdf

Internet

https://jims.atu.ac.ir/article_4475_e4a265a70730df76499409030e686824.pdf

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