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Optimized neural network model for a potato storage system

Abdulquadri Oluwo, Adeyinka and Khan, Md. Raisuddin and Salami, Momoh Jimoh Emiyoka (2013) Optimized neural network model for a potato storage system. ARPN Journal of Engineering and Applied Sciences, 8 (6). pp. 449-454. ISSN 1819-6608

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The postharvest storage process is a highly nonlinear one involving heat and mass transfer. The need to capture these nonlinearities demands the use of intelligent models. In this study a neural network model (for a potato storage process) was normalized using the standard deviation technique and optimized through different combinations of network configurations. The optimum model had a mean squared error (MSE) value of 0.8314 and a coefficient of determination (R2) value of 0.7347. In comparison to a previous study, where the network was based on the min-max method of normalization, the network provided a better representation of the storage process. The proposed model would be useful in simulation processes involving intelligent controllers.

Item Type: Article (Journal)
Additional Information: 3627/33583
Uncontrolled Keywords: potato tubers, optimization, artificial neural networks, modeling, post harvest storage
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Dr. Md. Raisuddin Khan
Date Deposited: 23 Dec 2013 09:50
Last Modified: 23 Dec 2013 09:50
URI: http://irep.iium.edu.my/id/eprint/33583

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