Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/1773
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dc.contributor.authorAlhassan, J. K.-
dc.contributor.authorMisra, Sanjay-
dc.date.accessioned2021-06-06T18:23:31Z-
dc.date.available2021-06-06T18:23:31Z-
dc.date.issued2011-
dc.identifier.citation, https://doi.org/10.5897/SRE10.1040en_US
dc.identifier.issn3DC0E6925286-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/1773-
dc.description.abstractThis research work, proposes forecasting stock prices in the stock market industry in Nigeria using a Weightless Neural Network (WNN). A neural network application used to demonstrate the application of the WNN in the forecasting of stock prices in the market is designed and implemented in Visual Foxpro 6.0. The proposed network is tested with stock data obtained from the Nigeria Stock Exchange. This system is compared with Single Exponential Smoothing (SES) model. The WNN error value is found to be 0.39 while that of SES is 9.78, based on these values, forecasting with the WNN is observed to be more accurate and closer to the real data than those using the SES model.en_US
dc.publisherAcademic Journals - Scientific Research and Essayen_US
dc.relation.ispartofseriesVolume 6 Number 14;-
dc.subjectWeightless Neural Network, Single Exponetial Smoothingen_US
dc.titleUsing a weightless neural network to forecast stock prices: A case study of Nigerian stock exchangeen_US
dc.typeArticleen_US
Appears in Collections:Computer Science

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