Evolutionary fuzzy system for architecture control in a constructive neural network
| Title | Evolutionary fuzzy system for architecture control in a constructive neural network |
| Publication Type | Conference Proceedings |
| Year of Conference | 2005 |
| Authors | Calvo R, Antonelo EA, Figueiredo M |
| Conference Name | 6th IEEE International Symposium on Computational Intelligence in Robotics and Automation |
| Pagination | 541-546 |
| Publisher | IEEE |
| ISBN | 0-7803-9355-4 |
| Abstract | This work describes an evolutionary system to control the growth of a constructive neural network for autonomous navigation. A classifier system generates Takagi- Sugeno fuzzy rules and controls the architecture of a constructive neural network. The performance of the mobile robot guides the evolutionary learning mechanism. Experiments show the efficiency of the classifier fuzzy system for analyzing if it is worth inserting a new neuron into the architecture. |
| URL | https://ieeexplore.ieee.org/abstract/document/1554333/ |
| DOI | 10.1109/CIRA.2005.1554333 |
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