Orthogonal least squares based complex-valued functional link network
Functional link networks are single-layered neural networks that impose nonlinearity in the input layer using nonlinear functions of the original input variables. In this paper, we present a fully complex-valued functional link network (CFLN) with multivariate polynomials as the nonlinear functions....
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Main Authors: | Amin, Md. Faijul, Savitha, Ramasamy, Amin, Muhammad Ilias, Murase, Kazuyuki |
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其他作者: | School of Electrical and Electronic Engineering |
格式: | Article |
語言: | English |
出版: |
2013
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主題: | |
在線閱讀: | https://hdl.handle.net/10356/97457 http://hdl.handle.net/10220/10620 |
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機構: | Nanyang Technological University |
語言: | English |
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