Surface Approximation Using the 2D FFENN Architecture
<p/> <p>A new two-dimensional feed-forward functionally expanded neural network (2D FFENN) used to produce surface models in two dimensions is presented. New nonlinear multilevel surface basis functions are proposed for the network's functional expansion. A network optimization tech...
Main Authors: | Panagopoulos S, Soraghan JJ |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2004-01-01
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Series: | EURASIP Journal on Advances in Signal Processing |
Subjects: | |
Online Access: | http://dx.doi.org/10.1155/S111086570440612X |
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