A fully complex-valued radial basis function classifier for real-valued classification problems

• Main Authors: Suresh, Sundaram, Sundararajan, Narasimhan, Savitha, R., Kim, H. J.
• 其他作者: School of Computer Engineering
• 格式: Article
• 語言: English
• 出版: 2013
• 主題: DRNTU::Engineering::Computer science and engineering
• 在線閱讀: https://hdl.handle.net/10356/99595; http://hdl.handle.net/10220/13650
• 機構: Nanyang Technological University

In this paper, we investigate the decision making ability of a fully complex-valued radial basis function (FC-RBF) network in solving real-valued classification problems. The FC-RBF classifier is a single hidden layer fully complex-valued neural network with a nonlinear input layer, a nonlinear hidd...