Artificial neural networks and genetic algorithms constitute a wide and diverse set of models and techniques for data analysis, inspired by their biological equivalents: the nervous system and genetic evolution. In this course we will show the main models of neural and evolutionay computation, with emphasys on their capacity and use to solve problems of prediction, classification, optimization, clustering and visualization of multidimensional data.
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