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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Asian Research Publishing Network (ARPN)
2013
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| 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 |
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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 |
| _version_ |
1777409838745124864 |