Parameter optimization of evolving spiking neural network with dynamic population particle swarm optimization
Evolving Spiking Neural Network (ESNN) is widely used in classification problem. However, ESNN like any other neural networks is incapable to find its own parameter optimum values, which are crucial for classification accuracy. Thus, in this study, ESNN is integrated with an improved Particle Swarm...
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| Format: | Thesis |
| Language: | English |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/81484/1/NurNadiahMdSaidMFC2018.pdf http://eprints.utm.my/id/eprint/81484/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:119781 |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |