期刊名称：Faculty of Computer Science and Information Technology
出版年度：2011
卷号：0
期号：0
语种：English
出版社：Faculty of Computer Science and Information Technology
摘要：Artificial neural network is a branch of the science of artificial intelligence (Artificial Intelligence) and is a tool to solve problems in the field, especially those which involve grouping and pattern recognition. Technology of artificial neural network system has been implemented in various applications especially in pattern recognition. Ability is what has attracted some circles in the use of artificial neural network for health, finance, investment, marketing and more. One of the artificial neural network implementation in the field of finance or investments is a prediction or forecast stock prices. Capabilities of artificial neural networks can be used to study and make rules or operation of some models or inputs that are included and make predictions about a possible output will appear. Back propagation is one of the existing methods in artificial neural networks. This method is a method that is widely used, especially in dealing with the introduction of complex patterns. This writing illustrates how the artificial neural network back propagation method can be used to predict stock prices. The results show that artificial neural networks with back propagation method can predict and be able to follow the movement patterns of the stock data used in the experiment.
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