Parameter optimization of evolving spiking neural network with dynamic population particle swarm optimization

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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书目详细资料
主要作者:	Md. Said, Nur Nadiah
格式:	Thesis
语言:	English
出版:	2018
主题:	QA75 Electronic computers Computer science
在线阅读:	http://eprints.utm.my/id/eprint/81484/1/NurNadiahMdSaidMFC2018.pdf
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