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. (https://doi.org/10.1109/RADAR.2002.1174668)

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.

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• Item metadata

  Item type:	Conference or Workshop Item(Paper)
  ID code:	38809
  Dates:	Date Event October 2002 Published
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
  Department:	Faculty of Engineering > Electronic and Electrical Engineering Unknown Department
  Depositing user:	Pure Administrator
  Date deposited:	29 Mar 2012 14:15
  Last modified:	09 Apr 2024 04:57
  URI:	https://strathprints.strath.ac.uk/id/eprint/38809