Searching for "Fuzzy hyperrings." – sorted by Relevance.
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"On-Line" Time Series Prediction System - EFuNN-T
- NN is trying to form a fuzzy hyper-reflection between input hyper-plane and output hyper-plane instead
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Bayesian Approaches to Gaussian Mixture Modelling
- ) using other model-order selection criteria / techniques. The methods we compare are 1. Fuzzy hyper
- Cited by 55 (1 self) – Add To MetaCart
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A Neuro-Fuzzy Approach For Modelling Electricity Demand In Victoria
- the fuzzy input and fuzzy output spaces. Each rule node, e.g. rj , represents an association between a hyper
- Cited by 4 (2 self) – Add To MetaCart
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L-fuzzy and X Hyperoperations
- fuzzy polygroups in [6, 21, 22] and fuzzy hyperrings in [5]; Corsini and Tofan have studied fuzzy
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Plasticity--Theory and Application
- associative memory [55], fuzzy hyper-rectangular composite neural networks [49,50], etc. Such integration
- Cited by 1 (0 self) – Add To MetaCart
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The L-fuzzy Nakano "Hyperlattice"
- have been presented by Zahedi and Hasankhani in [5, 17, 18], the same authors present fuzzy hyperrings
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L-fuzzy Meet and Join Hyperoperations
- polygroups in [3, 9, 10] and fuzzy hyperrings in [2]; Corsini and Tofan have studied fuzzy hypergroups in [1
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Active semisupervised clustering for image database categorization. Content-Based Multimedia Indexing
- -defined cluster (thick frontier) found as the one having the highest fuzzy hyper-volume (FHV). (d) Data items
- Cited by 4 (0 self) – Add To MetaCart
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Model selection for unsupervised learning of visual context
- [30]. Other model selection criteria include heuristic methods such as Fuzzy Hyper-Volume (FHV) [16
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An example of L-fuzzy Join Space
- ]. Fuzzy hyperrings are studied in [7]. Fuzzy lattices have been introduced in [27] and studied in more
- Cited by 6 (0 self) – Add To MetaCart

