Exploiting the functional training approach in Takagi-Sugeno Neuro-fuzzy Systems
When used for function approximation purposes, neural networks and neuro-fuzzy systems belong to a class of models whose parameters can be separated into linear and nonlinear, according to their influence in the model output. This concept of parameter separability can also be applied when the traini...
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| Other Authors: | , , |
| Format: | bookPart |
| Language: | eng |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10400.1/2132 |
| Country: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/2132 |