Supervised fuzzy inference network for invariant pattern recognition

A supervised fuzzy inference network (FIN) model and its learning algorithm for invariant pattern recognition are presented in this paper. This fuzzy inference network is suitable for 2-D visual pattern recognition problems and has been tested with letter patterns of black and white pixel values. In...

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Bibliographische Detailangaben

Hauptverfasser:	Kwan, H.K., Cai, L.Y.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Backpropagation algorithms Character recognition Feature extraction Fuzzy logic Fuzzy neural networks Fuzzy sets Fuzzy systems Neural networks Neurons Pattern recognition
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