The best way to conference proceedings by Francis Academic Press

Web of Proceedings - Francis Academic Press
Web of Proceedings - Francis Academic Press

WNN Nonlinear Modeling Method based on Heuristic RS Attribute Reduction Algorithm and Its Application

Download as PDF

DOI: 10.25236/icsemc.2017.35


Gan Xusheng, Qu Hong, Han Jun

Corresponding Author

Gan Xusheng


Compared with the traditional neural network, Wavelet Neural Network (WNN) has many advantages, but it cannot achieve the expected modeling effect when dealing with the nonlinear modeling problem with large input dimension. In order to solve this problem, a WNN modeling method based on Rough Set (RS) attribute reduction is proposed. In this method, a heuristic attribute reduction RS algorithm is used to reduce the input variables in advance, and then the WNN model is established on this basis. The experiment result on the aerodynamic modeling of the aircraft shows that the proposed method is effective and feasible, so as to provide a good choice for the nonlinear modeling of complex systems.


Wavelet Neural Network, Rough Set, Attribute Reduction, Nonlinear Modeling.