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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Asian Research Publishing Network (ARPN)
2013
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/33583/1/OPTIMIZED_NEURAL_NETWORK_MODEL_FOR_A_POTATO.pdf |
| _version_ | 1796878412577505280 |
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| 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 |
| collection | IIUM |
| 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. |
| first_indexed | 2024-03-05T23:21:06Z |
| format | Article |
| id | oai:generic.eprints.org:33583 |
| institution | International Islamic University Malaysia |
| language | English |
| last_indexed | 2024-03-05T23:21:06Z |
| publishDate | 2013 |
| publisher | Asian Research Publishing Network (ARPN) |
| record_format | dspace |
| spelling | oai:generic.eprints.org: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 |
| spellingShingle | T Technology (General) Abdulquadri Oluwo, Adeyinka Khan, Md. Raisuddin Salami, Momoh Jimoh Emiyoka Optimized neural network model for a potato storage system |
| title | 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_short | Optimized neural network model for a potato storage system |
| title_sort | optimized neural network model for a potato storage system |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/33583/1/OPTIMIZED_NEURAL_NETWORK_MODEL_FOR_A_POTATO.pdf |
| work_keys_str_mv | AT abdulquadrioluwoadeyinka optimizedneuralnetworkmodelforapotatostoragesystem AT khanmdraisuddin optimizedneuralnetworkmodelforapotatostoragesystem AT salamimomohjimohemiyoka optimizedneuralnetworkmodelforapotatostoragesystem |