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18 results with keyword: 'forecasting stock price artificial neural networks indonesian exchange'

Forecasting Stock Price Index Using Artificial Neural Networks in the Indonesian Stock 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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editorial calendar 2014 PRINT. digital. events.

Videos: Walk-Through | 60 seconds with… | ICFF Minute | Hd Minute Features: Memo from… Hong Kong | Office of the Future | Hi-Tech Products iNsight series:

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Short Term Electricity Price Forecasting Using a Combination of Neural Networks and Fuzzy Inference

Keywords: Electricity Price Forecasting, Short-Term Load Forecasting, Electricity Markets, Artificial Neural Networks, Fuzzy

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Online Full Text

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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Escalation of Forecasting Accuracy through Linear  Combiners of Predictive Models

Keywords: combining forecasts , ensemble method , artificial neural network , stock market prediction , financial time series forecasting , exchange rate forecasting ,

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Applying Artificial Neural Networks in Forecasting US Dollars-Indonesian Rupiah Exchange

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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Forecasting the stock market index using artificial intelligence techniques

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

National Stock Exchange Stock and Index Price Direction Prediction using Back- propagation Artificial Neural Network..

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Stock market forecasting using artificial neural networks

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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DEVELOPING A MODEL FOR FINANCIAL FORECASTING THROUGH ARTIFICIAL NEURAL NETWORKS

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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Stock price development forecasting using neural networks

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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Forecasting Exchange Rates Using Artificial Neural Networks

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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Forecasting of Indian Rupee (INR) / US Dollar (USD) Currency Exchange Rate Using Artificial Neural Network

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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Artificial neural networks with evolutionary instance selection for financial forecasting

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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3 PHARMACEUTICAL FORM APTIVUS (tipranavir) 250 mg capsules are pink, oblong, soft gelatine capsules imprinted in black with TPV 250.

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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Forecasting Stock Price in Tehran's Stock Market Using Evolutionary Strategies

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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2022
Forecasting Stock Market Volatility: A Forecast Combination Approach

Forecasting Stock Exchange Movements Using Artificial Neural Network Models and Hybrid Models. The International Federation for Information Processing

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Trends in the stock market and their price forecasting using artificial neural networks 1

An exception is the first layer (called the input layer) consisting of neurons, at whose inputs are values brought from the outside of the network (concerning the values of

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