Using a neural network to make predictions in the stock market : an honors thesis (HONRS 499)

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dc.contributor.advisor Zhang, Hongfei en_US
dc.contributor.author Arnold, Alicia M. en_US
dc.date.accessioned 2011-06-06T18:24:11Z
dc.date.available 2011-06-06T18:24:11Z
dc.date.created 1998 en_US
dc.date.issued 1998
dc.identifier.other A-201 en_US
dc.identifier.uri http://cardinalscholar.bsu.edu/handle/handle/189314
dc.description.abstract This paper discusses the use a neural network to solve a problem of predicting stock prices. A background discussion of neural networks is given. Next, the models used for the network are discussed. This discussion shows the shortcomings and advantages of the networks used. It was discovered that a radial basis network best fit the data being presented. However, these findings are not entirely accurate to what the stock market actually does, since so many factors influence it.
dc.description.sponsorship Honors College
dc.format.extent 1 v. : ill. ; 29 cm. en_US
dc.source Virtual Press en_US
dc.subject.lcsh Computer science. en_US
dc.title Using a neural network to make predictions in the stock market : an honors thesis (HONRS 499) en_US
dc.type Undergraduate senior honors thesis
dc.description.degree Thesis (B.?)
dc.identifier.cardcat-url http://liblink.bsu.edu/catkey/1243048 en_US


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  • Undergraduate Honors Theses [5615]
    Honors theses submitted to the Honors College by Ball State University undergraduate students in partial fulfillment of degree requirements.

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