Design Methodology for Rough Neuro-Fuzzy Classification with Missing Data

Nowicki, R. K.; Korytkowski, M.; Scherer, R.; Nowak, B. A.

doi:10.1109/SSCI.2015.232

by R. K. Nowicki, M. Korytkowski, R. Scherer, B. A. Nowak

Reference:

Design Methodology for Rough Neuro-Fuzzy Classification with Missing Data (R. K. Nowicki, M. Korytkowski, R. Scherer, B. A. Nowak), In Computational Intelligence, 2015 IEEE Symposium Series on, 2015.

Bibtex Entry:

@INPROCEEDINGS{7376808,
author={R. K. Nowicki and M. Korytkowski and R. Scherer and B. A. Nowak},
booktitle={Computational Intelligence, 2015 IEEE Symposium Series on},
title={Design Methodology for Rough Neuro-Fuzzy Classification with Missing Data},
year={2015},
pages={1650-1657},
keywords={feature extraction;fuzzy set theory;gradient methods;learning (artificial intelligence);neural nets;optimisation;pattern classification;rough set theory;RNFC;design methodology;feature value;gradient descent;gradient learning;optimization method;rough-neurofuzzy classification;Cognition;Electronic mail;Fuzzy sets;Fuzzy systems;Neural networks;Zirconium},
doi={10.1109/SSCI.2015.232},
month={Dec},}