Neural methods for the financial prediction

Journal Title: Współczesna Gospodarka - Year 2016, Vol 7, Issue 2

Abstract

Artificial neural networks can be used to predict share investment on the stock market, assess the reliability of credit client or predicting banking crises. Moreover, this paper discusses the principles of cooperation neural network algorithms with evolutionary method, and support vector machines. In addition, a reference is made to other methods of artificial intelligence, which are used in finance prediction.

Authors and Affiliations

Jerzy Balicki, Piotr Dryja, Waldemar Korłub, Maciej Tyszka, Marcin Zadroga

Keywords

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  • EP ID EP154313
  • DOI -
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How To Cite

Jerzy Balicki, Piotr Dryja, Waldemar Korłub, Maciej Tyszka, Marcin Zadroga (2016). Neural methods for the financial prediction. Współczesna Gospodarka, 7(2), 21-36. https://europub.co.uk/articles/-A-154313