Multi-objective differential evolution of evolving spiking neural networks for classification problems
Spiking neural network (SNN) plays an essential role in classification problems. Although there are many models of SNN, Evolving Spiking Neural Network (ESNN) is widely used in many recent research works. Evolutionary algorithms, mainly differential evolution (DE) have been used for enhancing ESNN a...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Springer New York LLC
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/59386/ http://dx.doi.org/10.1007/978-3-319-23868-5_25 |
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| Institution: | Universiti Teknologi Malaysia |