Pages that link to "Item:Q3152431"
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The following pages link to Evolutionary learning of rule premises for fuzzy modelling (Q3152431):
Displaying 19 items.
- A feature construction approach for genetic iterative rule learning algorithm (Q394994) (← links)
- Learning compact zero-order TSK fuzzy rule-based systems for high-dimensional problems using an apriori \(+\) local search approach (Q781936) (← links)
- An evolutionary approach to fuzzy rule-based model synthesis using indices for rules (Q1398937) (← links)
- A fast genetic method for inducting descriptive fuzzy models. (Q1430850) (← links)
- Temporal problems solved by dynamic fuzzy network based on genetic algorithm with variable-length chromosomes. (Q1430886) (← links)
- Optimization of fuzzy rules design using genetic algorithm (Q1568418) (← links)
- Hierarchical genetic fuzzy systems (Q1602475) (← links)
- A genetic learning process for the scaling factors, granularity and contexts of the fuzzy rule-based system data base (Q1602481) (← links)
- Learning premises of fuzzy rules for knowledge acquisition in classification problems (Q1606579) (← links)
- Genetically optimized logic models (Q1770734) (← links)
- Reduction of fuzzy control rules by means of premise learning -- method and case study (Q1867674) (← links)
- Problems of rule induction from preterm birth data (Q2776637) (← links)
- Evolutionary design of Sugeno-type fuzzy systems for modelling humanoid robots (Q3161654) (← links)
- Fuzzy rule extraction by bacterial memetic algorithms (Q3612527) (← links)
- Learning fuzzy rules for controllers with genetic algorithms (Q4422634) (← links)
- A multiple-population evolutionary approach to gate matrix layout (Q4653445) (← links)
- (Q4736919) (← links)
- (Q4783473) (← links)
- Hybridizing genetic algorithms with sharing scheme and evolution strategies for designing approximate fuzzy rule-based systems (Q5946483) (← links)
