Cover Image

Classifying material type and mechanical properties using artificial neural network

Link to publisher's homepage at http://ieeexplore.ieee.org/

Saved in:
Bibliographic Details
Main Authors: Intan Maisarah, Abd Rahim, Fauziah, Mat, Sazali, Yaacob, Prof. Dr., Rakhmad Arief, Siregar
Other Authors: umaisarah_138@yahoo.com
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2011
Subjects:
Frequency Response Function
Levenberg-Marquardt Backpropagation
Vibration analysis
Vibration technique
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/14045
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-14045
record_format dspace
spelling my.unimap-140452011-10-06T09:33:04Z Classifying material type and mechanical properties using artificial neural network Intan Maisarah, Abd Rahim Fauziah, Mat Sazali, Yaacob, Prof. Dr. Rakhmad Arief, Siregar umaisarah_138@yahoo.com fauziah@unimap.edu.my sazali22@yahoo.com rakhmadarief@gmail.com Frequency Response Function Levenberg-Marquardt Backpropagation Vibration analysis Vibration technique Link to publisher's homepage at http://ieeexplore.ieee.org/ This paper focused on experimental data and study for the testing of the material mechanical properties using vibration technique. By applying vibration analysis and testing on the material, we could determine the natural frequencies, the damping ratio and mode shapes of the structure. However, in this study, we only considering the natural frequencies of the material as the input data needed for training. As an extension for the study, the system tested with various method of neural network training algorithm. The Levenberg-Marquardt Backpropagation used as the algorithm in an artificial neural network system developed 2011-10-06T09:33:04Z 2011-10-06T09:33:04Z 2011-03-04 Working Paper p. 207-211 978-161284414-5 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5759874 http://hdl.handle.net/123456789/14045 en Proceedings of the 7th International Colloquium on Signal Processing and its Applications (CSPA 2011) Institute of Electrical and Electronics Engineers (IEEE)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Frequency Response Function
Levenberg-Marquardt Backpropagation
Vibration analysis
Vibration technique
spellingShingle Frequency Response Function
Levenberg-Marquardt Backpropagation
Vibration analysis
Vibration technique
Intan Maisarah, Abd Rahim
Fauziah, Mat
Sazali, Yaacob, Prof. Dr.
Rakhmad Arief, Siregar
Classifying material type and mechanical properties using artificial neural network
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 umaisarah_138@yahoo.com
author_facet umaisarah_138@yahoo.com
Intan Maisarah, Abd Rahim
Fauziah, Mat
Sazali, Yaacob, Prof. Dr.
Rakhmad Arief, Siregar
format Working Paper
author Intan Maisarah, Abd Rahim
Fauziah, Mat
Sazali, Yaacob, Prof. Dr.
Rakhmad Arief, Siregar
author_sort Intan Maisarah, Abd Rahim
title Classifying material type and mechanical properties using artificial neural network
title_short Classifying material type and mechanical properties using artificial neural network
title_full Classifying material type and mechanical properties using artificial neural network
title_fullStr Classifying material type and mechanical properties using artificial neural network
title_full_unstemmed Classifying material type and mechanical properties using artificial neural network
title_sort classifying material type and mechanical properties using artificial neural network
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/14045
_version_ 1643791130599358464
score 13.160551

Similar Items