Research on RS-WNN Integrated Modeling

Abstract:

Article Preview

Wavelet Neural Network (WNN) integration modeling based on Rough Set (RS) is studied. An integration modeling algorithm named RS-WNN, which first introduces a heuristic attribute reduction recursion algorithm to determine the optimum decision attributes and then conducts WNN modeling, is proposed. This method is adopted to more effectively eliminate the redundant attributes, lower the structure complexity of WNN, which reduce the time of training and improve the generalization ability of WNN. The result of the experiment shows this method is superior and efficient.

Info:

Periodical:

Edited by:

Paul P. Lin and Chunliang Zhang

Pages:

2169-2173

DOI:

10.4028/www.scientific.net/AMM.105-107.2169

Citation:

Z. C. Xu et al., "Research on RS-WNN Integrated Modeling", Applied Mechanics and Materials, Vols. 105-107, pp. 2169-2173, 2012

Online since:

September 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.