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Results for fuzzy rules

Publications & Outputs

  1. Semi-supervised deep rule-based approach for image classification

    Gu, X. & Angelov, P. P., 07/2018, In : Applied Soft Computing. 68, p. 53-68 16 p.

    Research output: Contribution to journalJournal article

  2. A Massively Parallel Deep Rule-Based Ensemble Classifier for Remote Sensing Scenes

    Gu, X., Angelov, P. P., Zhang, C. & Atkinson, P. M., 03/2018, In : IEEE Geoscience and Remote Sensing Letters. 15, 3, p. 345-349 5 p.

    Research output: Contribution to journalJournal article

  3. Algorithms for Real-Time Clustering and Generation of Rules from Data

    Filev, D. & Angelov, P., 2007, Advances in Fuzzy Clustering and Its Applications. de Oliveira, J. V. & Pedrycz, W. (eds.). Chichester: John Willey and Sons, p. 353-370 18 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

  4. Uncertainty and equifinality in calibrating distributed roughness coefficients in a flood propagation model with limited data.

    Aronica, G., Hankin, B. G. & Beven, K. J., 12/1998, In : Advances in Water Resources. 22, 4, p. 349-365 17 p.

    Research output: Contribution to journalJournal article