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....
保存先:
主要な著者: | Siraj, Fadzilah, Sheik Osman, Wan Rozaini |
---|---|
フォーマット: | Conference or Workshop Item |
出版事項: |
2010
|
主題: | |
オンライン・アクセス: | http://repo.uum.edu.my/20628/ http://doi.org/10.1109/CIMSiM.2010.75 |
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
類似資料
-
Improving generalization of neural network using length as discriminant
著者:: Siraj, Fadzilah, 等
出版事項: (1999) -
MLP Neural Networks using Octave NN Package
著者:: Lee, Nung Kion
出版事項: (2015) -
Improving generalization of neural networks using multilayer perceptron discriminants
著者:: Siraj, Fadzilah, 等
出版事項: (2002) -
Emotion speech recognition using KDE and MLP neural networks
著者:: Abdul Rahman, Abdul Wahab, 等
出版事項: (2011) -
WEBIC: a web based business insolvency classifier using neural networks
著者:: Siraj, Fadzilah, 等
出版事項: (2003)