Improving generalization of neural networks using MLP discriminant based on multiple classifiers failures
Multiple classifier systems or ensemble is an idea that is relevant both to neural computing and to machine learning community.Different MCSs can be designed for creating classifier ensembles with different combination functions.However, the best MCS can only be determined by performance evaluation....
Saved in:
Main Authors: | Siraj, Fadzilah, Sheik Osman, Wan Rozaini |
---|---|
格式: | Conference or Workshop Item |
出版: |
2010
|
主题: | |
在线阅读: | http://repo.uum.edu.my/20628/ http://doi.org/10.1109/CIMSiM.2010.75 |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Improving generalization of neural network using length as discriminant
由: Siraj, Fadzilah, et al.
出版: (1999) -
MLP Neural Networks using Octave NN Package
由: Lee, Nung Kion
出版: (2015) -
Improving generalization of neural networks using multilayer perceptron discriminants
由: Siraj, Fadzilah, et al.
出版: (2002) -
Emotion speech recognition using KDE and MLP neural networks
由: Abdul Rahman, Abdul Wahab, et al.
出版: (2011) -
WEBIC: a web based business insolvency classifier using neural networks
由: Siraj, Fadzilah, et al.
出版: (2003)