The DSFPN: a new neural network and circuit simulation for optical character recognition

A new type of neural network for recognition tasks is presented. The network, which is called the "dynamic supervised forward-propagation network" (DSFPN), is based on the forward only version of the counterpropagation network (CPN). The novel DSFPN is trained using a supervised algorithm...

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Veröffentlicht in:	IEEE transactions on signal processing 2003-12, Vol.51 (12), p.3198-3209
Hauptverfasser:	Morns, I.P., Dlay, S.S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Applied sciences Artificial intelligence Character recognition Circuit simulation Computer science control theory systems Connectionism. Neural networks Exact sciences and technology Multilayer perceptrons Multiresolution analysis Neural networks Optical character recognition software Optical computing Optical fiber networks Pattern recognition. Digital image processing. Computational geometry Studies Training data Wavelet analysis
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