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Performance of auto-configuring RBF networks trained with significant patterns
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Department of Information Science & Engineering, Sri Jayachamarajendra College of Engineering, Mysore - 570 006 India
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Publication type: Journal Article
Publication date: 2009-11-20
scimago Q3
SJR: 0.210
CiteScore: 2.7
Impact factor: —
ISSN: 17480698, 17480701
Electrical and Electronic Engineering
Control and Systems Engineering
Abstract
This paper presents two new ideas to improve the performance of Radial Basis Function (RBF) networks. In the first instance, we choose a set of patterns for training, which are closer to decision boundaries, from different classes of training samples that constitute the input space. We call those set of patterns significant patterns and discuss their selection process from the given data set. Secondly, we use these significant patterns to train Adaptive incremental learning RBF network and Resource Allocating Network (RAN). The learning curves and generalisation characteristics of the generated RBF networks are presented. The performance results are discussed.
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Nagabhushan T., Padma S., Prasad B. Performance of auto-configuring RBF networks trained with significant patterns // International Journal of Signal and Imaging Systems Engineering. 2009. Vol. 2. No. 1/2. p. 41.
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Nagabhushan T., Padma S., Prasad B. Performance of auto-configuring RBF networks trained with significant patterns // International Journal of Signal and Imaging Systems Engineering. 2009. Vol. 2. No. 1/2. p. 41.
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TY - JOUR
DO - 10.1504/ijsise.2009.029328
UR - https://doi.org/10.1504/ijsise.2009.029328
TI - Performance of auto-configuring RBF networks trained with significant patterns
T2 - International Journal of Signal and Imaging Systems Engineering
AU - Nagabhushan, T.N.
AU - Padma, S.K.
AU - Prasad, Bhanu
PY - 2009
DA - 2009/11/20
PB - Inderscience Publishers
SP - 41
IS - 1/2
VL - 2
SN - 1748-0698
SN - 1748-0701
ER -
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BibTex (up to 50 authors)
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@article{2009_Nagabhushan,
author = {T.N. Nagabhushan and S.K. Padma and Bhanu Prasad},
title = {Performance of auto-configuring RBF networks trained with significant patterns},
journal = {International Journal of Signal and Imaging Systems Engineering},
year = {2009},
volume = {2},
publisher = {Inderscience Publishers},
month = {nov},
url = {https://doi.org/10.1504/ijsise.2009.029328},
number = {1/2},
pages = {41},
doi = {10.1504/ijsise.2009.029328}
}
Cite this
MLA
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Nagabhushan, T.N., et al. “Performance of auto-configuring RBF networks trained with significant patterns.” International Journal of Signal and Imaging Systems Engineering, vol. 2, no. 1/2, Nov. 2009, p. 41. https://doi.org/10.1504/ijsise.2009.029328.