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Stock Price Forecasting: Statistical, Classical and Fuzzy Neural Network Approach

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Modeling Decisions for Artificial Intelligence (MDAI 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3131))

Abstract

An AR model, a classical neural feedforward network and an artificial fuzzy neural network based on B-spline member ship functions are presented and considered. Some preliminary results and further experiments that we performed are presented.

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© 2004 Springer-Verlag Berlin Heidelberg

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Marček, D. (2004). Stock Price Forecasting: Statistical, Classical and Fuzzy Neural Network Approach. In: Torra, V., Narukawa, Y. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2004. Lecture Notes in Computer Science(), vol 3131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27774-3_5

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  • DOI: https://doi.org/10.1007/978-3-540-27774-3_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22555-3

  • Online ISBN: 978-3-540-27774-3

  • eBook Packages: Springer Book Archive

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