Applying FSSAM for Currency Rates Forecasting

Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2016, Vol 4, Issue 3

Abstract

Currency rates forecasting in real-time is a milestone in the process of financial decision making. Assessing the historical performance of currency rates is a major concept in financial management. In this paper Fuzzy Software System for Asset Management (FSSAM) is briefly described. This system is applied on real data of currency rates and some of the results are shown.

Authors and Affiliations

Penka Valkova Georgieva

Keywords

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  • EP ID EP277216
  • DOI 10.14738/tmlai.43.2079
  • Views 69
  • Downloads 0

How To Cite

Penka Valkova Georgieva (2016). Applying FSSAM for Currency Rates Forecasting. Transactions on Machine Learning and Artificial Intelligence, 4(3), 30-40. https://europub.co.uk/articles/-A-277216