Features of artificial neural network architecture comparison
Answers
Answered by
3
The architecture of an artificial neutral network defines how it's several neurons are..,
Neural network architecture are compared based on digits.. network, image recognition, radial basis function network,
(ECG) using artificial neutral network,
principal component analysis (PCA) and wavelet transform (WT) are 2 powerful techniques for feature extraction.
In addition, fuzzy c-means clustering (FCM) is among considerable techniques for data reduction. in other word ,the aim of using FCM is to decrease the no. of segments in training data. in this paper, the 4 different structure, FCM-NN, PCA--NN and is the new method proposed in this paper for classification of ECG............ There are more to explain but.... if you interested... you can contact me... anytime.......
Neural network architecture are compared based on digits.. network, image recognition, radial basis function network,
(ECG) using artificial neutral network,
principal component analysis (PCA) and wavelet transform (WT) are 2 powerful techniques for feature extraction.
In addition, fuzzy c-means clustering (FCM) is among considerable techniques for data reduction. in other word ,the aim of using FCM is to decrease the no. of segments in training data. in this paper, the 4 different structure, FCM-NN, PCA--NN and is the new method proposed in this paper for classification of ECG............ There are more to explain but.... if you interested... you can contact me... anytime.......
Similar questions
Art,
7 months ago
Social Sciences,
7 months ago
Political Science,
1 year ago
English,
1 year ago
Accountancy,
1 year ago