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, Crete.
Full text not available in this repository. (Request a copy from the Strathclyde author)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.
| Item type: | Conference or Workshop Item (Paper) |
|---|---|
| ID code: | 38808 |
| Keywords: | neural networks, surface modeling, sea clutter, radar, surface approximation, multi-level, interpolation, 2d ffenn, Electrical engineering. Electronics Nuclear engineering |
| Subjects: | Technology > Electrical engineering. Electronics Nuclear engineering |
| Department: | Faculty of Engineering > Electronic and Electrical Engineering Unknown Department |
| Related URLs: | |
| Depositing user: | Pure Administrator |
| Date Deposited: | 29 Mar 2012 15:10 |
| Last modified: | 04 Oct 2012 17:11 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/38808 |
Actions (login required)
| View Item |