Pages that link to "Item:Q1299623"
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The following pages link to Neuro-fuzzy systems for function approximation (Q1299623):
Displaying 18 items.
- Qualitative modeling of dynamical systems employing continuous-time recurrent fuzzy systems (Q622070) (← links)
- Fuzzy rule base simplification using multidimensional scaling and constrained optimization (Q679756) (← links)
- Modeling with discrete-time recurrent fuzzy systems via mixed-integer optimization (Q695247) (← links)
- An on-line algorithm for creating self-organizing fuzzy neural networks (Q705601) (← links)
- Recurrent neuro-fuzzy hybrid-learning approach to accurate system modeling (Q868300) (← links)
- Fuzzy lattice reasoning (FLR) classifier and its application for ambient ozone estimation (Q997040) (← links)
- Performance enhancement for neural fuzzy systems using asymmetric membership functions (Q1037917) (← links)
- Approximations between fuzzy expert systems and neural networks (Q1317385) (← links)
- Coevolutionary genetic fuzzy systems: A hierarchical collaborative approach. (Q1430855) (← links)
- Optimised PWL recursive approximation and its application to neuro-fuzzy systems (Q1609418) (← links)
- Function approximation with complex neuro-fuzzy system using complex fuzzy sets -- a new approach (Q1758663) (← links)
- Hierarchical neuro-fuzzy quadtree models (Q1855484) (← links)
- Interpretability and learning in neuro-fuzzy systems (Q1885674) (← links)
- Review of research in the field of developing methods to extract rules from artificial neural networks (Q2134322) (← links)
- A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks (Q2390343) (← links)
- Automatic tuning of complex fuzzy systems with Xfuzzy (Q2458676) (← links)
- A MULTI-OBJECTIVE GENETIC ALGORITHM FOR TUNING AND RULE SELECTION TO OBTAIN ACCURATE AND COMPACT LINGUISTIC FUZZY RULE-BASED SYSTEMS (Q3498258) (← links)
- Hybrid learning-based neuro-fuzzy inference system: a new approach for system modeling (Q5402746) (← links)
