PREPROCESSING IN ATTRACTOR NEURAL NETWORKS

C.G. Carvalhaes, A.T. Costa and T.J.P. Penna
Additional contact information
C.G. Carvalhaes: Instituto de Física, Universidade Federal Fluminense Av. Litorâmpa, s/m, Boa Viagem, Niterói, RJ, Brazil
A.T. Costa: Instituto de Física, Universidade Federal Fluminense Av. Litorâmpa, s/m, Boa Viagem, Niterói, RJ, Brazil
T.J.P. Penna: Instituto de Física, Universidade Federal Fluminense Av. Litorâmpa, s/m, Boa Viagem, Niterói, RJ, Brazil

International Journal of Modern Physics C (IJMPC), 1995, vol. 06, issue 01, 1-10

Abstract: Preprocessing the input patterns seems the simplest approach to invariant pattern recognition by neural networks. The Fourier transform has been proposed as an appropriate and elegant preprocessor. Nevertheless, we show in this work that the performance of this kind of preprocessor is strongly affected by the number of stored informations. This is so because the phase of the Fourier transform plays a more important role than the amplitude in the recognition process.

Keywords: Neural Networks; Pattern Recognition; Fourier Transform (search for similar items in EconPapers)
Date: 1995
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0129183195000022
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijmpcx:v:06:y:1995:i:01:n:s0129183195000022

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0129183195000022

Access Statistics for this article

International Journal of Modern Physics C (IJMPC) is currently edited by H. J. Herrmann

More articles in International Journal of Modern Physics C (IJMPC) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().