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