Parallel consensual neural networks

A new type of a neural-network architecture, the parallel consensual neural network (PCNN), is introduced and applied in classification/data fusion of multisource remote sensing and geographic data. The PCNN architecture is based on statistical consensus theory and involves using stage neural networ...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on neural networks 1997-01, Vol.8 (1), p.54-64
Hauptverfasser:	Benediktsson, J.A., Sveinsson, J.R., Ersoy, O.K., Swain, P.H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Analog computers Backpropagation Neural networks Optimization methods Pattern recognition Remote sensing Statistical analysis Testing Time frequency analysis Wavelet packets
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