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.

ORCID iDs

Soraghan, J.J. ORCID: https://orcid.org/0000-0003-4418-7391

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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:	11 Nov 2024 16:16
  URI:	https://strathprints.strath.ac.uk/id/eprint/38809