Surface modeling using 2D FFENN

S. Panagopolous; J.J. Soraghan

doi:10.1109/RADAR.2002.1174668

Surface modeling using 2D FFENN

S. Panagopolous, J.J. Soraghan

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper

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.

Original language	English
Pages	133-137
Number of pages	5
DOIs	https://doi.org/10.1109/RADAR.2002.1174668
Publication status	Published - Oct 2002
Event	RADAR 2002 Conference - Edinburgh, United Kingdom Duration: 15 Oct 2002 → 17 Oct 2002

Conference

Conference	RADAR 2002 Conference
Country/Territory	United Kingdom
City	Edinburgh
Period	15/10/02 → 17/10/02

Keywords

surface modeling
2d ffenn

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10.1109/RADAR.2002.1174668

Cite this

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title = "Surface modeling using 2D FFENN",

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. ",

keywords = "surface modeling, 2d ffenn",

author = "S. Panagopolous and J.J. Soraghan",

year = "2002",

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doi = "10.1109/RADAR.2002.1174668",

language = "English",

pages = "133--137",

note = "RADAR 2002 Conference ; Conference date: 15-10-2002 Through 17-10-2002",

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AU - Panagopolous, S.

AU - Soraghan, J.J.

PY - 2002/10

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N2 - 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.

AB - 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.

KW - surface modeling

KW - 2d ffenn

U2 - 10.1109/RADAR.2002.1174668

DO - 10.1109/RADAR.2002.1174668

M3 - Paper

SP - 133

EP - 137

T2 - RADAR 2002 Conference

Y2 - 15 October 2002 through 17 October 2002

ER -

Surface modeling using 2D FFENN

Abstract

Conference

Keywords

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Cite this