Title
A Globally Convergent MC Algorithm With an Adaptive Learning Rate.
Abstract
This brief deals with the problem of minor component analysis (MCA). Artificial neural networks can be exploited to achieve the task of MCA. Recent research works show that convergence of neural networks based MCA algorithms can be guaranteed if the learning rates are less than certain thresholds. However, the computation of these thresholds needs information about the eigenvalues of the autocorre...
Year
DOI
Venue
2012
10.1109/TNNLS.2011.2179310
IEEE Transactions on Neural Networks and Learning Systems
Keywords
DocType
Volume
Convergence,Heuristic algorithms,Vectors,Algorithm design and analysis,Eigenvalues and eigenfunctions,Correlation,Discrete cosine transforms
Journal
23
Issue
ISSN
Citations 
2
2162-237X
5
PageRank 
References 
Authors
0.40
18
4
Name
Order
Citations
PageRank
Dezhong Peng128527.92
Zhang Yi21765194.41
Yong Xiang3113793.92
Haixian Zhang4161.58