Browsing by Autor "Ensiye Farrokhi"

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    Designing A Novel Fuzzy Indicator For Predicting Rate Of Euro-dollar In International Foreign Exchange
    (2012) Ahmad J. Afshari; Danial Khoonmirzaie; Somaye Rasouli; Ensiye Farrokhi
    Capital market contains different sectors and one of its important sectors is currency market. High turnover in this market has attracted many investors. In this article an efficient system of recognizing point of buy and sell is invented with the help of fuzzy logic. In suggested model functions of triangular and trapezoidal membership is used for defining linguistic variables which can be used for symbol of Euro - Dollar. Inventing system based on fuzzy logic is the first one of its type and its direct application in Forex indicates its efficiency in the real world which can be used in developed trading expert systems for exchange market.
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    Designing Perceptron Three-layered Neural Network For Predicting Dollar- Franc Currency Pair In International Exchange Market
    (2014) Danial Khoonmirzaie; Somaye Rasouli; Ensiye Farrokhi
    International financial markets like exchange market are among the most dynamic markets in the capital markets available in which investing needs enough knowledge and experience. So we decided to invent a system so that it can forecast trend created in exchange market. There are a lot of wide transactional strategies for buy and selling of exchange symbols which here we used science of artificial neural network in this article. Final results of the predictions and percent of Mean square error of the network is calculated after defining neural network and training by Matlab software. Training of desired neural network is achieved by 2010 price data in order to mean square error decrease to 2.15e-6 and at comparison against newest of research show proper improvement.