Andrey Gavrilov, Young-Koo Lee, Sungyoung Lee. Hybrid Neural Network Model Based on Multi-layer Perceptron and Adaptive Resonance Theory. In Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Hujun Yin, editors, Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I. Volume 3971 of Lecture Notes in Computer Science, pages 707-713, Springer, 2006. [doi]
@inproceedings{GavrilovLL06,
title = {Hybrid Neural Network Model Based on Multi-layer Perceptron and Adaptive Resonance Theory},
author = {Andrey Gavrilov and Young-Koo Lee and Sungyoung Lee},
year = {2006},
doi = {10.1007/11759966_104},
url = {http://dx.doi.org/10.1007/11759966_104},
tags = {rule-based},
researchr = {https://researchr.org/publication/GavrilovLL06},
cites = {0},
citedby = {0},
pages = {707-713},
booktitle = {Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I},
editor = {Jun Wang and Zhang Yi and Jacek M. Zurada and Bao-Liang Lu and Hujun Yin},
volume = {3971},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {3-540-34439-X},
}