Universal approximation of extreme learning machine with adaptive growth of hidden nodes
Extreme learning machines (ELMs) have been proposed for generalized single-hidden-layer feedforward networks which need not be neuron-like and perform well in both regression and classification applications. In this brief, we propose an ELM with adaptive growth of hidden nodes (AG-ELM), which provid...
| Egile Nagusiak: | , , , |
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| Beste egile batzuk: | |
| Formatua: | Journal Article |
| Hizkuntza: | English |
| Argitaratua: |
2013
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| Gaiak: | |
| Sarrera elektronikoa: | https://hdl.handle.net/10356/99394 http://hdl.handle.net/10220/13487 |