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Visualization of learning in multilayer perceptron networks using principal component analysis

โœ Scribed by Gallagher, M.; Downs, T.

Book ID
117938049
Publisher
IEEE
Year
2003
Tongue
English
Weight
334 KB
Volume
33
Category
Article
ISSN
1083-4419

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โœ Rossella Cancelliere; Mario Gai ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 373 KB

Multi-Layer Perceptron (MLP) neural network is currently the most widely used model to deal with applications and therefore it is relevant to design and test methods to improve its efficiency at run time. This paper deals with a new method to use Principal Component Analysis (PCA) to cut differences