Surface approximation using the multi-level and interpolation 2D FFENN

Panagopolous, S. and Soraghan, J.J. (2002) Surface approximation using the multi-level and interpolation 2D FFENN. In: Signal Processing, Pattern Recognition, and Applications (SPPRA 2002), 2002-06-25 - 2002-06-28.

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Abstract

In this paper, we present the development of a two dimensional feed-forward functionally expanded neural network (2D FFENN) surface modeler. Two application models of the generic design are also proposed. The scope of this work is the development of a two-dimensional system able to produce surface data mappings. The main application area of interest is sea surface modeling and target detection by sea clutter suppression. New nonlinear multi-level surface basis functions are proposed for the network’s functional expansion. A network optimization technique based on an iterative function selection strategy is also described. Results for surface mappings generated by the multi-level 2D FFENN and interpolation 2D FFENN designs are presented.

ORCID iDs

Panagopolous, S. and Soraghan, J.J. ORCID logoORCID: https://orcid.org/0000-0003-4418-7391;
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