Self-Configuring Evolutionary Algorithms Based Design of Hybrid Interpretable Machine Learning Models
Keywords: Fuzzy logic classifier, neural network interpretability, self-configuring evolutionary algorithms
Article no: 38
Pages 313-320
Keywords: Fuzzy logic classifier, neural network interpretability, self-configuring evolutionary algorithms
Article no: 38
Pages 313-320
Keywords: Algorithm, factors, regions, systematization, classification
Article no: 222
Pages 1906-1914
Keywords: Elective course, hard computing problems, “greedy” algorithms, the first step in the science.
Article no: 167
Pages 1649-1658
Keywords: SVM classifier, genetic algorithm, multi-objective optimization, NSGA-I
Article no: 9
Pages 84-94
Keywords: Bio-inspired algorithms, self-configuring, cooperative co-evolution, scheduling problem, operational production planning
Article no: 21
Pages 167-177
Keywords: Education algorithm, nurses, educational process, patients, questionnaire survey, lifestyles
Article no: 105
Pages 900-908
Keywords: Optimization, artificial multilayer neural networks, genetic algorithm, classification, Keras
Article no: 29
Pages 241-248
Keywords: Computer games, algorithmical thinking, teacher training
Article no: 30
Pages 320-331
Keywords: Cluster, clustering algorithm, cluster definitions
Article no: 25
Pages 198-205
Keywords: Student learning, quality, algorithm, lack of information.
Article no: 97
Pages 825-830