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  • 标题:A NEURAL NETWORK SYSTEM FOR DETERMINING THE OPTIMAL PROFITABILITY OF SMOKED FISH BUSINESS IN NIGERIA
  • 本地全文:下载
  • 作者:Ezike J.O.J ; Adeyiga J.A. ; Aderinko O. M.
  • 期刊名称:Computing, Information Systems, Development Informatics and Allied Research Journal
  • 印刷版ISSN:2167-1710
  • 出版年度:2013
  • 卷号:4
  • 期号:4
  • 语种:English
  • 出版社:Computing, Information Systems, Development Informatics and Allied Research Journal
  • 摘要:Small scale smoked fish business is a lucrative business venture in Nigeria as market fish sellers especially women living inriverside areas of the country earn a living from this business. However, these fish sellers they may not know thecombination of smoked fish type that will yield optimum profit. In this research, a neural network model was designed forachieving this purpose and was used to predict the profitability of smoked fish business based on the analysis from thesample survey of smoked fish sellers/retailers in selected markets in Ota, in Ogun State, Nigeria, and its environs, . Thisprediction results could help government and small scale smoked fish retailers to fashion out best practices to help achievemaximum profitability in the smoked business.Keywords: Neural Network, Profitability, Smoked Fish Business, Voice Communication, Ogun State, Nigeria
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