Incremental extreme learning machine

This new theory shows that in order to let SLFNs work as universal approximators, one may simply randomly choose input-to-hidden nodes, and then we only need to adjust the output weights linking the hidden layer and the output layer. In such SLFNs implementations, the activation functions for additi...

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Bibliographic Details
Main Author: Chen, Lei
Other Authors: Huang Guangbin
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:https://hdl.handle.net/10356/3804
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Institution: Nanyang Technological University
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