Improved spikeprop algorithm for neural network learning
Spiking Neural Network (SNN) utilizes individual spikes in time domain to communicate and to perform computation in a manner like what the real neurons actually do. SNN had remained unexplored for many years because it was considered too complex and too difficult to analyze. Since Sander Bothe intro...
Saved in:
主要作者: | Ahmed, Falah Y. H. |
---|---|
格式: | Thesis |
语言: | English |
出版: |
2013
|
主题: | |
在线阅读: | http://eprints.utm.my/id/eprint/33796/5/FalahYHAhmedPFSKSM2013.pdf http://eprints.utm.my/id/eprint/33796/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:70130?site_name=Restricted Repository |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Improved SpikeProp for using particle swarm optimization
由: Ahmed, Falah Y. H., et al.
出版: (2013) -
Using K-fold cross validation proposed models for SpikeProp learning enhancements
由: Ahmed, Falah Younis H., et al.
出版: (2018) -
An improved bat algorithm with artificial neural networks for classification problems
由: Rehman Gillani, Syed Muhammad Zubair
出版: (2016) -
Acceleration Strategies For The Backpropagation
Neural Network Learning Algorithm
由: Zainuddin, Zarita
出版: (2001) -
Improving generalization of neural networks using multilayer perceptron discriminants
由: Siraj, Fadzilah, et al.
出版: (2002)