Evolving spiking neural networks for pattern classification problems
This thesis focuses on the development of new batch/online learning algorithms for evolving spiking neural networks that can be used for pattern classification problems. The input and output signals of spiking neurons consist of discrete events (spikes) in time. The inherent discontinuous nature of...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
2017
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/69608 |