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Surface modeling using 2D FFENN

Panagopolous, S. and Soraghan, J.J. (2002) Surface modeling using 2D FFENN. In: RADAR 2002 Conference, 2002-10-15 - 2002-10-17.

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Abstract

This paper is concerned With the development of a two-dimensional feed-forward functionally expanded neural network (2D FFENN) surface modeller. New nonlinear 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. Comparative simulation results for surface mappings. generated by the 2D FFENN, multi-layered perceptron (MLP) and radial basis function (RBF) architectures are presented.. The main purpose of this work is the. development of a two-dimensional system, able to produce surface data mappings. The main application area of interest for the proposed system is, sea surface modelling and target detection by sea clutter suppression.