Research for Predicting the Underwater Acoustic Performance of Sandwich Structural Composite Based on Support Vector Machine

Abstract:

Article Preview

Support vector machine(SVM) is a new learning machine based on the statistical learning theory. For it not only has solid theory, but also can solve many practical problems in optimizing area, such as small samples, over learning, high dimension and local minima. And has shown attractive potential and promising performance in a wide range of fields and applications. In this paper, the least square support vector machine(LS-SVM), which developed from normal SVM, has been used for predicting and modeling the underwater acoustic performance of sandwich composite plates, which were composed of fiber-reinforced plastics/acoustic rubber/fiber-reinforced plastics. Effective result indicate that LS-SVM is of potential application in sandwich structural composite design and acoustic material research.

Info:

Periodical:

Advanced Materials Research (Volumes 308-310)

Edited by:

Jian Gao

Pages:

678-684

DOI:

10.4028/www.scientific.net/AMR.308-310.678

Citation:

Y. Q. Li et al., "Research for Predicting the Underwater Acoustic Performance of Sandwich Structural Composite Based on Support Vector Machine", Advanced Materials Research, Vols. 308-310, pp. 678-684, 2011

Online since:

August 2011

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.