A self-reorganizing neuro-fuzzy associative machine for algorithmic financial time-series modeling
Financial markets today are facing explosive growth in the volume of market information, global scope of risks, as well as in the addition of new mathematical complexities embedded into financial instruments. The Thesis first discusses how analysis in financial markets today are increasingly hind...
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| Format: | Thesis |
| Language: | English |
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2015
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| Online Access: | http://hdl.handle.net/10356/62919 |