Parameter optimization of evolving spiking neural networks using improved firefly algorithm for classification tasks
Evolving Spiking Neural Network (ESNN) is the third generation of artificial neural network that has been widely used in numerous studies in recent years. However, there are issues of ESSN that need to be improved; one of which is its parameters namely the modulation factor (Mod), similarity factor...
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| Format: | Thesis |
| Language: | English |
| Published: |
2018
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| Online Access: | http://eprints.utm.my/id/eprint/80972/1/FarezdzuanRoslanMFC2018.pdf |
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