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World Journal of Engineering Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

ISSN 2454-695X

Impact Factor : 7.029

ICV : 79.45

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    Article are invited for publication in WJERT Coming Issue

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    WJERT Rank with Index Copernicus Value 79.45 due to high reputation at International Level

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    WJERT Impact Factor has been Increased to 7.029 for Year 2024.




Izabo Abigo*, Isaac E. Okwu and Barinyima Nkoi


This project was aimed at optimizing soap production profit using Neural Network programming. In this project a Neural Network was trained using a data set of solved linear programming problems. The objective function used in this training had two (2) variables and three (3) constraints equations. This trained Neural Network was used to optimize soap production profit for two different kinds of soap; bathing and laundry soaps. The Neural Network structure consisted of eleven (11) inputs and 3 outputs with a neural structure of 2 hidden layers and 50 neurons. The training algorithm used was feed-forward back propagation with a Bayesian Regularization error. The Neural Network results when compared with traditional simplex method of optimization, proved to be 98% accurate. The maximum projected profit was up to a 91% increase from ?30,625 to ?58,500 in a month. This research will increase the current rate of soap production in Patrich Global Enterprise and increase the profit of production while maintaining the same quantity of raw materials for monthly soap production.

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