Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets
A genetic-programming-based approach for the learning of compact fuzzy rule-based classification systems
Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-Sets Using an Evolutionary Adaptive Inference System
Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery
Parallelizing the Design of Radial Basis Function Neural Networks by Means of Evolutionary Meta-algorithms
STUDY OF THE ROBUSTNESS OF A META-ALGORITHM FOR THE ESTIMATION OF PARAMETERS IN RADIAL BASIS FUNCTION NEURAL NETWORKS DESIGN
