Desarrollo de una librería Haskell sobre redes neuronales

Abstract

Artificial Neural Networks are a computational model whose objective is to simulate the learning system of the human brain, this is achieved by designing and optimizing a network through pre-established examples. In this Final Degree Project we present an introductory theoretical vision on this, in addition to an implementation of a Haskell library, based on the Neurolab Python library, easy to understand for any beginning user in this field. We also add some practical examples as an user’s manual for it. We conclude this work by proposing future improvements for this type of library and commenting on some that already exist.