A Guaranteed Training of Binary Pattern Mappings Using Gaussian Perceptron Networks

Taek M. Kwon

doi:10.1109/IJCNN.1992.227106

A Guaranteed Training of Binary Pattern Mappings Using Gaussian Perceptron Networks

Taek M. Kwon

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper introduces training algorithms for single- and multiple-layered networks of Gaussian perceptrons. One characteristic of these algorithms is that they can guarsuitee to find a network structure and the corresponding weights for any arbitrarily given mapping relation of binary patterns. A number of computer simulation results are presented to demonstrate the performance of the proposed algorithms.

Original language	English (US)
Title of host publication	Proceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	614-619
Number of pages	6
ISBN (Electronic)	0780305590
DOIs	https://doi.org/10.1109/IJCNN.1992.227106
State	Published - 1992
Event	1992 International Joint Conference on Neural Networks, IJCNN 1992 - Baltimore, United States Duration: Jun 7 1992 → Jun 11 1992

Publication series

Name	Proceedings of the International Joint Conference on Neural Networks
Volume	3

Conference

Conference	1992 International Joint Conference on Neural Networks, IJCNN 1992
Country/Territory	United States
City	Baltimore
Period	6/7/92 → 6/11/92

Bibliographical note

Publisher Copyright:
©1992 IEEE

Publisher link

10.1109/IJCNN.1992.227106

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Kwon, T. M. (1992). A Guaranteed Training of Binary Pattern Mappings Using Gaussian Perceptron Networks. In Proceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992 (pp. 614-619). (Proceedings of the International Joint Conference on Neural Networks; Vol. 3). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IJCNN.1992.227106

A Guaranteed Training of Binary Pattern Mappings Using Gaussian Perceptron Networks. / Kwon, Taek M.
Proceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992. Institute of Electrical and Electronics Engineers Inc., 1992. p. 614-619 (Proceedings of the International Joint Conference on Neural Networks; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kwon, TM 1992, A Guaranteed Training of Binary Pattern Mappings Using Gaussian Perceptron Networks. in Proceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992. Proceedings of the International Joint Conference on Neural Networks, vol. 3, Institute of Electrical and Electronics Engineers Inc., pp. 614-619, 1992 International Joint Conference on Neural Networks, IJCNN 1992, Baltimore, United States, 6/7/92. https://doi.org/10.1109/IJCNN.1992.227106

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abstract = "This paper introduces training algorithms for single- and multiple-layered networks of Gaussian perceptrons. One characteristic of these algorithms is that they can guarsuitee to find a network structure and the corresponding weights for any arbitrarily given mapping relation of binary patterns. A number of computer simulation results are presented to demonstrate the performance of the proposed algorithms.",

author = "Kwon, \{Taek M.\}",

note = "Publisher Copyright: {\textcopyright}1992 IEEE; 1992 International Joint Conference on Neural Networks, IJCNN 1992 ; Conference date: 07-06-1992 Through 11-06-1992",

year = "1992",

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language = "English (US)",

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AB - This paper introduces training algorithms for single- and multiple-layered networks of Gaussian perceptrons. One characteristic of these algorithms is that they can guarsuitee to find a network structure and the corresponding weights for any arbitrarily given mapping relation of binary patterns. A number of computer simulation results are presented to demonstrate the performance of the proposed algorithms.

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M3 - Conference contribution

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T2 - 1992 International Joint Conference on Neural Networks, IJCNN 1992

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ER -

A Guaranteed Training of Binary Pattern Mappings Using Gaussian Perceptron Networks

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