文章基本信息

标题：USING NEURAL NETWORK WITH BACK PROPAGATION METHOD FOR PREDICTING STOCK MARKET
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作者：ANGGA LESMANA ; SURYADI H SURYADI H
期刊名称：Faculty of Computer Science and Information Technology
出版年度：2007
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, especiallythose which involve grouping and pattern recognition. Technology of artificialneural network system has been implemented in various applications especiallyin pattern recognition. Ability is what has attracted some circles in the use ofartificial neural network for health, finance, investment, marketing and more.One of the artificial neural network implementation in the field of finance orinvestments is a prediction or forecast stock prices. Capabilities of artificialneural networks can be used to study and make rules or operation of somemodels or inputs that are included and make predictions about a possible outputwill appear. Back propagation is one of the existing methods in artificial neuralnetworks. This method is a method that is widely used, especially in dealingwith the introduction of complex patterns. This writing illustrates how theartificial neural network back propagation method can be used to predict stockprices. The results show that artificial neural networks with back propagationmethod can predict and be able to follow the movement patterns of the stockdata used in the experiment.