18 results with keyword: 'forecasting stock price artificial neural networks indonesian exchange'
Ki Kin nerja statistik k dan keuangan dari teknik ini dievaluasi dan hasil empiris m menunjukka kan n bahwa a jaringan syaraf tiruan adalah alat yang cukup baik untuk m mempre e
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Keywords: Electricity Price Forecasting, Short-Term Load Forecasting, Electricity Markets, Artificial Neural Networks, Fuzzy
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Artificial Neural Networks (ANN) can provide relatively good performances in forecasting stock price but it cannot explain the forecasting rules clearly.. On the other hand,
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Keywords: combining forecasts , ensemble method , artificial neural network , stock market prediction , financial time series forecasting , exchange rate forecasting ,
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Artificial Neural Network model for forecasting exchange rates have been investigated in a number of studies have found that neural networks are better than random walk models
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Three artificial intelligence techniques, namely, neural networks (NN), support vector machines and neuro-fuzzy systems are implemented in forecasting the future price of a stock
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National Stock Exchange Stock and Index Price Direction Prediction using Back- propagation Artificial Neural Network..
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Openly accessible at http://www.european-science.com 2405 of that neuron, then that unit of neuron is infused, the networks based on this type of structure are used as
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Keywords : neural networks, artificial neural networks (ANN), exchange rate, foreign exchange rate (FER) Hidden Markov Model Foreign Exchange Rate (HMMFER), artificial neural
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The objective of this contribution is to predict further development of ČEZ share prices on Prague Share Exchange by means of neural networks.. is one of the most important
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The lagged values of the monthly data of the Algerian Dinar exchange rates against the US dollar were used as inputs for three artificial neural networks that differed in their
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Finally, the forecasting of Exchange rates using an Artificial Neural Network model .In this paper we investigate the effects of three important factors on Artificial Neural
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Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index. Stock market prediction system with modular
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John’s Wort (Hypericum perforatum) must not be used while taking APTIVUS, co-administered with low dose ritonavir, due to the risk of decreased plasma concentrations and
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The results of predicting stock price showed that forecasting stock prices is possible using neural networks, the best algorithm to predict the stock price is the 1-1-10-16
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Forecasting Stock Exchange Movements Using Artificial Neural Network Models and Hybrid Models. The International Federation for Information Processing
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