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- W2297445595 abstract "The share market is dynamic in nature that means to predict share price is very complex process by general prediction or computation method. Its main reason is that there is no linear relationship between the market parameters and target closing price, so use of Neural Network is a choice of interest for share market prediction. Apart from Neural Network the proposed system consists of three more algorithms: Regression, Forecasting and Moving average. Using these algorithms, the basic idea behind this system is to predict the future share values based of the past values. Also, use of these algorithms leads the system to result in better output as well as increases the efficiency. The share market is dynamic in nature that means to predict share price is very complex process by general prediction or computation method. Its main reason is that there is no linear relationship between the market parameters and target closing price, so use of Neural Network is a choice of interest for share market prediction. Apart from Neural Network the proposed system consists of three more algorithms: Regression, Forecasting and Moving average. Using these algorithms, the basic idea behind this system is to predict the future share values based of the past values. Also, use of these algorithms leads the system to result in better output as well as increases the efficiency." @default.
- W2297445595 created "2016-06-24" @default.
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- W2297445595 date "2016-03-15" @default.
- W2297445595 modified "2023-09-25" @default.
- W2297445595 title "SHARE MARKET PREDICTION USING ARTIFICIAL NEURAL NETWORK" @default.
- W2297445595 hasPublicationYear "2016" @default.
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