Wood texture detection with conjugate gradient neural network algorithm
This project explored fundamental methods to find the factors that can be used in classifying and detecting the type of wood. Whereas, the literatures have been reviewed to determine the algorithms developed. Some experiments have been conducted to analyze the model and system. The experiments are b...
| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2017
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/20254/1/Wood%20texture%20detection%20with%20conjugate%20gradient%20neural%20network%20algorithm.pdf |
| _version_ | 1796992537930498048 |
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| author | Widyarto, Setyawan Suryasa, I. Nyoman Khairul Annuar, Abdullah Fajarianto, Otto Mohd Shafry, Mohd Rahim Priyandoko, Gigih Budaya, Gilang Anggit |
| author_facet | Widyarto, Setyawan Suryasa, I. Nyoman Khairul Annuar, Abdullah Fajarianto, Otto Mohd Shafry, Mohd Rahim Priyandoko, Gigih Budaya, Gilang Anggit |
| author_sort | Widyarto, Setyawan |
| collection | UMP |
| description | This project explored fundamental methods to find the factors that can be used in classifying and detecting the type of wood. Whereas, the literatures have been reviewed to determine the algorithms developed. Some experiments have been conducted to analyze the model and system. The experiments are based on artificial neural network (ANN) algorithm that used back propagation and conjugate gradient method of training function in the process of identification. The experiments carried out to be more accurate than the ANN system, the result is about 96% accuracy. It is expected the method can be used and applied for the detection of the type and classification of wood in the industrial sector, especially agriculture. |
| first_indexed | 2024-03-06T12:21:28Z |
| format | Conference or Workshop Item |
| id | UMPir20254 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:21:28Z |
| publishDate | 2017 |
| publisher | IEEE |
| record_format | dspace |
| spelling | UMPir202542019-04-05T03:10:01Z http://umpir.ump.edu.my/id/eprint/20254/ Wood texture detection with conjugate gradient neural network algorithm Widyarto, Setyawan Suryasa, I. Nyoman Khairul Annuar, Abdullah Fajarianto, Otto Mohd Shafry, Mohd Rahim Priyandoko, Gigih Budaya, Gilang Anggit TJ Mechanical engineering and machinery This project explored fundamental methods to find the factors that can be used in classifying and detecting the type of wood. Whereas, the literatures have been reviewed to determine the algorithms developed. Some experiments have been conducted to analyze the model and system. The experiments are based on artificial neural network (ANN) algorithm that used back propagation and conjugate gradient method of training function in the process of identification. The experiments carried out to be more accurate than the ANN system, the result is about 96% accuracy. It is expected the method can be used and applied for the detection of the type and classification of wood in the industrial sector, especially agriculture. IEEE 2017 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/20254/1/Wood%20texture%20detection%20with%20conjugate%20gradient%20neural%20network%20algorithm.pdf Widyarto, Setyawan and Suryasa, I. Nyoman and Khairul Annuar, Abdullah and Fajarianto, Otto and Mohd Shafry, Mohd Rahim and Priyandoko, Gigih and Budaya, Gilang Anggit (2017) Wood texture detection with conjugate gradient neural network algorithm. In: 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI 2017) , 19-21 September 2017 , Yogyakarta, Indonesia. pp. 1-6.. ISBN 978-1-5386-0549-3 https://ieeexplore.ieee.org/abstract/document/8239118 |
| spellingShingle | TJ Mechanical engineering and machinery Widyarto, Setyawan Suryasa, I. Nyoman Khairul Annuar, Abdullah Fajarianto, Otto Mohd Shafry, Mohd Rahim Priyandoko, Gigih Budaya, Gilang Anggit Wood texture detection with conjugate gradient neural network algorithm |
| title | Wood texture detection with conjugate gradient neural network algorithm |
| title_full | Wood texture detection with conjugate gradient neural network algorithm |
| title_fullStr | Wood texture detection with conjugate gradient neural network algorithm |
| title_full_unstemmed | Wood texture detection with conjugate gradient neural network algorithm |
| title_short | Wood texture detection with conjugate gradient neural network algorithm |
| title_sort | wood texture detection with conjugate gradient neural network algorithm |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/20254/1/Wood%20texture%20detection%20with%20conjugate%20gradient%20neural%20network%20algorithm.pdf |
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