Configuring Artificial Neural Networks for stock market predictions

Configuring Artificial Neural Networks for stock market predictions

Making accurate predictions for stock market values with advanced non-linear methods creates opportunities for business practitioners, especially nowadays, with highly volatile stock market evolutions. Well suited for approaching non-linear problems, Artificial Neural Networks provide a number of f...

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Bibliographic Details
Main Authors: Gheorghe Ruxanda, Laura Maria Badea
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2014-03-01
Series:Technological and Economic Development of Economy
Subjects:
Prediction
Artificial Neural Networks
nonlinear programming
gradient descent
BFGS
numerical differentiation
Online Access:https://journals.vgtu.lt/index.php/TEDE/article/view/3405

Internet

https://journals.vgtu.lt/index.php/TEDE/article/view/3405

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