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https://open.uns.ac.rs/handle/123456789/12498
Title: | An approach of bio-inspired hybrid model for financial markets | Authors: | Simić, Dragan Gajić V. Simić S. |
Issue Date: | 20-Jul-2010 | Journal: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Abstract: | Biological systems are inspiration for the design of optimisation and classification models. Applying various forms of bio-inspired algorithms may be a very high-complex system. Modelling of financial markets is challenging for several reasons, because many plausible factors impact on it. An automated trading on financial market is not a new phenomenon. The model of bio-inspired hybrid adaptive trading system based on technical indicators usage by grammatical evolution and moving window is presented in this paper. The proposed system is just one of possible bio-inspired system which can be used in financial forecast, corporate failure prediction or bond rating company. © 2010 Springer-Verlag. | URI: | https://open.uns.ac.rs/handle/123456789/12498 | ISBN: | 3642137687 | ISSN: | 3029743 | DOI: | 10.1007/978-3-642-13769-3_25 |
Appears in Collections: | FTN Publikacije/Publications |
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