Data dimensionality reduction with application to simplifying RBF network structure and improving classification performance

• Main Authors: Wang, Lipo., Fu, Xiuju
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2012
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/93971; http://hdl.handle.net/10220/8196
• Institution: Nanyang Technological University

For high dimensional data, if no preprocessing is carried out before inputting patterns to classifiers, the computation required may be too heavy. For example, the number of hidden units of a radial basis function (RBF) neural network can be too large. This is not suitable for some practical applica...