Prediction of Yueqin acoustic quality based on soundboard vibration performance using support vector...
Prediction of Yueqin acoustic quality based on soundboard vibration performance using support vector machine
About this item
Full title
Author / Creator
Publisher
Tokyo: Springer Japan
Journal title
Language
English
Formats
Publication information
Publisher
Tokyo: Springer Japan
Subjects
More information
Scope and Contents
Contents
As an important material of making instrument resonant component, paulownia has a significant influence on instrument acoustic quality. Using the method of support vector machine (SVM), an evaluation model for predicting the Yueqin acoustic quality was developed based on the wood vibration performance. Generally, the wood selection in the Yueqin ma...
Alternative Titles
Full title
Prediction of Yueqin acoustic quality based on soundboard vibration performance using support vector machine
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_miscellaneous_2000472332
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2000472332
Other Identifiers
ISSN
1435-0211
E-ISSN
1611-4663
DOI
10.1007/s10086-016-1598-8
