Comparing Combination Rules of Pairwise Neural Networks Classifiers
✍ Scribed by Olivier Lézoray; Hubert Cardot
- Publisher
- Springer US
- Year
- 2007
- Tongue
- English
- Weight
- 283 KB
- Volume
- 27
- Category
- Article
- ISSN
- 1370-4621
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
This paper illustrates the use of combined neural network model to guide model selection for classification of electrocardiogram (ECG) beats. The ECG signals were decomposed into time-frequency representations using discrete wavelet transform and statistical features were calculated to depict their
We introduce a novel neural network architecture, referred to as the normalizing neural network (NNN), where the propagated signals take the form of finite probability distributions. Appropriately tuned NNN can be applied as the compound voting measure while classifying new cases on the basis of app