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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書目詳細資料
主要作者:	Md. Said, Nur Nadiah
格式:	Thesis
語言:	English
出版:	2018
主題:	QA75 Electronic computers Computer science
在線閱讀:	http://eprints.utm.my/id/eprint/81484/1/NurNadiahMdSaidMFC2018.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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