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

• Main Authors: Suresh, Sundaram, Sundararajan, Narasimhan, Savitha, R., Kim, H. J.
• Other Authors: School of Computer Engineering
• Format: Article
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/99595; http://hdl.handle.net/10220/13650
• Institution: 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...