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...

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Main Authors:	Widyarto, Setyawan, Suryasa, I. Nyoman, Khairul Annuar, Abdullah, Fajarianto, Otto, Mohd Shafry, Mohd Rahim, Priyandoko, Gigih, Budaya, Gilang Anggit
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2017
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/20254/ http://umpir.ump.edu.my/id/eprint/20254/ http://umpir.ump.edu.my/id/eprint/20254/1/Wood%20texture%20detection%20with%20conjugate%20gradient%20neural%20network%20algorithm.pdf

id	ump-20254
recordtype	eprints
spelling	ump-202542019-04-05T03:10:01Z 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
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
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
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.
format	Conference or Workshop Item
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
title	Wood texture detection with conjugate gradient neural network algorithm
title_short	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_sort	wood texture detection with conjugate gradient neural network algorithm
publisher	IEEE
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/20254/ http://umpir.ump.edu.my/id/eprint/20254/ http://umpir.ump.edu.my/id/eprint/20254/1/Wood%20texture%20detection%20with%20conjugate%20gradient%20neural%20network%20algorithm.pdf
first_indexed	2023-09-18T22:29:05Z
last_indexed	2023-09-18T22:29:05Z
_version_	1777416164753801216

Wood texture detection with conjugate gradient neural network algorithm

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