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

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...

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Bibliographic Details
Main Authors: Suresh, Sundaram, Sundararajan, Narasimhan, Savitha, R., Kim, H. J.
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/99595
http://hdl.handle.net/10220/13650
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Institution: Nanyang Technological University
Language: English
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