@inproceedings{bbbc8cfd98464966a7200d4f4a3d5f2a,
title = "Fuzzy ARTMAP network with evolutionary learning",
abstract = "Neural networks, particularly the multilayer perceptron, have been used extensively in automated signal classification systems with classification accuracy as the figure of merit. Three important issues that can enhance the utility of these systems are (i) incremental learning, (ii) confidence or reliability measures and (iii) performance improvement through continual learning. This paper investigates these issues using a fuzzy ARTMAP network. A hypothesis testing based algorithm is developed for computing reliability measures, which are fed back to the network for retraining and performance improvement. Implementation results on ultrasonic data are presented.",
author = "P. Ramuhalli and R. Polikar and L. Udpa and Udpa, {S. S.}",
year = "2000",
month = jan,
day = "1",
doi = "10.1109/ICASSP.2000.860147",
language = "English (US)",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3466--3469",
booktitle = "Design and Implementation of Signal Processing SystemNeural Networks for Signal Processing Signal Processing EducationOther Emerging Applications of Signal ProcessingSpecial Sessions",
address = "United States",
note = "25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 ; Conference date: 05-06-2000 Through 09-06-2000",
}