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: Natural Language Processing, Numeral Translation, Markov Normal Algorithms, Linguistic Web-Application
Article no: 29
Pages 290-298
Keywords: Elective course, hard computing problems, “greedy” algorithms, the first step in the science.
Article no: 167
Pages 1649-1658
Keywords: Bio-inspired algorithms, self-configuring, cooperative co-evolution, scheduling problem, operational production planning
Article no: 21
Pages 167-177
Keywords: Library, online algorithms, offline algorithms, PR, promotion
Article no: 174
Pages 1465-1471
Keywords: Teaching, competencies, content, context, algorithms, technologies
Article no: 94
Pages 800-808
Keywords: Decision trees, genetic programming algorithm, composition of algorithms, differential evolution
Article no: 14
Pages 111-116
Keywords: Differential equation, identification, evolutionary algorithms
Article no: 19
Pages 152-159