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|Title: ||Classifying material type and mechanical properties using artificial neural network|
|Authors: ||Intan Maisarah, Abd Rahim|
Sazali, Yaacob, Prof. Dr.
Rakhmad Arief, Siregar
|Keywords: ||Frequency Response Function;Levenberg-Marquardt Backpropagation;Vibration analysis;Vibration technique|
|Issue Date: ||4-Mar-2011|
|Publisher: ||Institute of Electrical and Electronics Engineers (IEEE)|
|Citation: ||p. 207-211|
|Series/Report no.: ||Proceedings of the 7th International Colloquium on Signal Processing and its Applications (CSPA 2011)|
|Abstract: ||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|
|Description: ||Link to publisher's homepage at http://ieeexplore.ieee.org/|
|Appears in Collections:||Conference Papers|
Sazali Yaacob, Prof. Dr.
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