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ORCIDNeurocomputing, Volume 36
Volume 36, Number 1-4, February 2001
- Sankar K. Pal, Witold Pedrycz, Andrzej Skowron
, Roman W. Swiniarski:
Presenting the special issue on Rough-neuro computing : Preface. 1-3 - Andrzej Czyzewski, Rafal Królikowski:
Neuro-rough control of masking thresholds for audio signal enhancement. 5-27 - Pawan Lingras:
Fuzzy-rough and rough-fuzzy serial combinations in neurocomputing. 29-44 - Sushmita Mitra, Pabitra Mitra, Sankar K. Pal:
Evolutionary modular design of rough knowledge-based network using fuzzy attributes. 45-66 - Wladyslaw Skarbek:
Rough sets for enhancements of local subspace classifier. 67-83 - Roman W. Swiniarski, Larry Hargis:
Rough sets as a front end of neural-networks texture classifiers. 85-102 - Marcin S. Szczuka, Piotr Wojdyllo:
Neuro-wavelet classifiers for EEG signals based on rough set methods. 103-122 - Andreas Nürnberger, Arne Radetzky, Rudolf Kruse:
Using recurrent neuro-fuzzy techniques for the identification and simulation of dynamic systems. 123-147 - Witold Pedrycz, Liting Han, James F. Peters, Sheela Ramanna, R. Zhai:
Calibration of software quality: Fuzzy neural and rough neural computing approaches. 149-170 - Ning Zhong, Juzhen Dong, Setsuo Ohsuga:
Rule discovery by soft induction techniques. 171-204 - Witold Pedrycz, George Vukovich:
Granular neural networks. 205-224 - Christian Igel, Wolfram Erlhagen, Dirk Jancke:
Optimization of dynamic neural fields. 225-233 - Michel Crucianu, Romuald Boné, Jean Pierre Asselin de Beauville:
Bayesian learning for recurrent neural networks. 235-242 - Krzysztof J. Cios:
Fuzzy classifier design: Ludmila Kuncheva; Physica-Verlag and Springer, Wurzburg and Berlin, 2000, 315 pp. ISBN 3-7908-1298-6. 243 - Krzysztof J. Cios:
Data Mining in Finance: Advances in Relational and Hybrid Methods. Boris Kovalerchuk and Evgenii Vityaev, Kluwer, Dordrecht, 2000, 308 pp., ISBN 0-7923-7804-0. 245-246
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