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: | , , |
---|---|
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 |
_version_ |
1777409838745124864 |