Νευρωνικά δίκτυα και εφαρμογές αυτών για πρόβλεψη χρονοσειρών στο χρηματιστήριο
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Keywords
Neural networks ; Stock market predictionAbstract
In recent years, scientific and technological advancements have led to the ubiquity of neural networks for solving various problems. One of the many applications of neural networks involves their use in the analysis and prediction of time series data related to financial indices. This paper presents the main architectures of neural networks used for time series analysis. Using the programming languages R and Python, we analyze four time series related to stock market indices of companies in the automotive industry, appropriately model the problems of time series price forecasting and forecasting future trends, train suitable neural networks to solve these problems, and evaluate the results of the experiments.
Postgraduate Studies Programme
Πληροφοριακά Συστήματα και ΥπηρεσίεςDepartment
Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Ψηφιακών ΣυστημάτωνNumber of pages
59Language
GreekCollections
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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα