Pages that link to "Item:Q1430890"
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The following pages link to Rule-base self-generation and simplification for data-driven fuzzy models. (Q1430890):
Displaying 16 items.
- Fuzzy rule base simplification using multidimensional scaling and constrained optimization (Q679756) (← links)
- On constructing a fuzzy inference framework using crisp decision trees (Q853405) (← links)
- A stability based validity method for fuzzy clustering (Q962670) (← links)
- Rule generation for hierarchical collaborative fuzzy system (Q1031590) (← links)
- Evolutionary algorithm-based learning of fuzzy neural networks. II: Recurrent fuzzy neural networks (Q1040934) (← links)
- A clustering and SVM regression learning-based spatiotemporal fuzzy logic controller with interpretable structure for spatially distributed systems (Q1760864) (← links)
- Interpretability issues in data-based learning of fuzzy systems (Q1770722) (← links)
- Identification and simplification of T-S fuzzy neural networks based on incremental structure learning and similarity analysis (Q2219351) (← links)
- On-line identification of computationally undemanding evolving fuzzy models (Q2458669) (← links)
- On fuzzy cluster validity indices (Q2458684) (← links)
- Extracting compact fuzzy rules based on adaptive data approximation using B-splines (Q2737597) (← links)
- Validation of methods for ranking fuzzy numbers in decision making (Q2988512) (← links)
- Symbiotic Evolution to Avoid Linkage Problem (Q3539208) (← links)
- A Novel Generic Hebbian Ordering-Based Fuzzy Rule Base Reduction Approach to Mamdani Neuro-Fuzzy System (Q3593967) (← links)
- Interest rate prediction: a neuro-hybrid approach with data preprocessing (Q5166466) (← links)
- Fuzzy multiple linear least squares regression analysis (Q6588919) (← links)
