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：Nerv net imitation is a branch ofknowledge is Artificial Intelegence andit is a tool of solving problems especiallyfor fields of knowledge which involve ingrouping and introducing the patterns.The technology of imitative nerv netsystem has been implemented in manyapplication especially to edentifyspecific pattern. This ability has beenattracted by many group people inutilizing the net of nerve imitation formedical, financial, investment,marketing, etc. One of the imitativenerve net implementation in financialsector or investment is prediction ofstock exchange. The ability which hadby the imitative nerv net can be used forlearning and producing regulation onoperation from many samples or inputand making prediction about the emergeoutput possibility. Backpropagationbecomes one of the imitation nerve netmethods. This method is the most usedin overcoming problems to identify thecomplex patterns. This thesis is done todiscribe how the imitative nerve net withits backpropagation method is used topredict stock exchange. This thesis resultshows us that imitative nerv net with itsmethod has ability to predict and followthe movement of the stock data whichused in the experiment.
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