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Lookup NU author(s): Ian Morns,
Professor Satnam Dlay
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A new type of neural network for recognition tasks is presented in this paper. The network, called the dynamic supervised forward-propagation network (DSFPN), is based on the forward only version of the counterpropagation network (CPN). The DSFPN, trains using a supervised algorithm and can grow dynamically during training, allowing subclasses in the training data to be learnt in an unsupervised manner. It is shown to train in times comparable to the CPN while giving better classification accuracies than the popular backpropagation network. Both Fourier descriptors and wavelet descriptors are used for image preprocessing and the wavelets are proven to give a far better performance. © 1999 IEEE.
Author(s): Morns IP, Dlay SS
Publication type: Article
Publication status: Published
Journal: IEEE Transactions on Neural Networks
Print publication date: 01/01/1999
ISSN (print): 1045-9227
ISSN (electronic): 1941-0093
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