A NEURAL NETWORK SYSTEM FOR DETERMINING THE OPTIMAL PROFITABILITY OF SMOKED FISH BUSINESS IN NIGERIA

Ezike J.O.J, Adeyiga J.A., Aderinko O. M., Daramola J.A, Kester C., Orhokomua E. E.

Abstract


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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