publication . Article . 2016

NEURAL METHODS FOR THE FINANCIAL PREDICTION

Jerzy Balicki; Piotr Dryja; Waldemar Korłub; Piotr Przybyłek; Maciej Tyszka; Marcin Zadroga; Marcin Zakidalski;
Open Access English
  • Published: 01 Jun 2016 Journal: Contemporary Economy (issn: 2082-677X, eissn: 2082-677X, Copyright policy)
  • Publisher: University of Gdansk
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.
Subjects
free text keywords: artificial neural networks, share investment on the stock market, evolutionary-neural method, Economics as a science, HB71-74
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