Optimized neural network model for a potato storage system

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...

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Main Authors: Abdulquadri Oluwo, Adeyinka, Khan, Md. Raisuddin, Salami, Momoh Jimoh Emiyoka
Format: Article
Language:English
Published: Asian Research Publishing Network (ARPN) 2013
Subjects:
Online Access:http://irep.iium.edu.my/33583/
http://irep.iium.edu.my/33583/
http://irep.iium.edu.my/33583/1/OPTIMIZED_NEURAL_NETWORK_MODEL_FOR_A_POTATO.pdf
id iium-33583
recordtype eprints
spelling iium-335832013-12-23T01:50:23Z http://irep.iium.edu.my/33583/ Optimized neural network model for a potato storage system Abdulquadri Oluwo, Adeyinka Khan, Md. Raisuddin Salami, Momoh Jimoh Emiyoka T Technology (General) 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. Asian Research Publishing Network (ARPN) 2013-06 Article PeerReviewed application/pdf en http://irep.iium.edu.my/33583/1/OPTIMIZED_NEURAL_NETWORK_MODEL_FOR_A_POTATO.pdf 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 http://www.arpnjournals.com/jeas/volume_06_2013.htm
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic T Technology (General)
spellingShingle T Technology (General)
Abdulquadri Oluwo, Adeyinka
Khan, Md. Raisuddin
Salami, Momoh Jimoh Emiyoka
Optimized neural network model for a potato storage system
description 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.
format Article
author Abdulquadri Oluwo, Adeyinka
Khan, Md. Raisuddin
Salami, Momoh Jimoh Emiyoka
author_facet Abdulquadri Oluwo, Adeyinka
Khan, Md. Raisuddin
Salami, Momoh Jimoh Emiyoka
author_sort Abdulquadri Oluwo, Adeyinka
title Optimized neural network model for a potato storage system
title_short Optimized neural network model for a potato storage system
title_full Optimized neural network model for a potato storage system
title_fullStr Optimized neural network model for a potato storage system
title_full_unstemmed Optimized neural network model for a potato storage system
title_sort optimized neural network model for a potato storage system
publisher Asian Research Publishing Network (ARPN)
publishDate 2013
url http://irep.iium.edu.my/33583/
http://irep.iium.edu.my/33583/
http://irep.iium.edu.my/33583/1/OPTIMIZED_NEURAL_NETWORK_MODEL_FOR_A_POTATO.pdf
first_indexed 2023-09-18T20:48:32Z
last_indexed 2023-09-18T20:48:32Z
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