GENERALIZED DELTA RULE WITH ENTROPY ERROR FUNCTION
Javier Bilbao, Imanol Bilbao, Cristina Feniser · ACTA TECHNICA NAPOCENSIS - Series: APPLIED MATHEMATICS, MECHANICS, and ENGINEERING · 2017
Machine Learning can refer to a different and various algorithms, based on artificial intelligence, that are able to recognize data patterns through continuous and repeated learning techniques, and we do not have to assume any prior data distribution. In this way, artificial neural networks can provide an effective technology and methodology. Artificial neural networks need a rule, delta rule, in order to learn from the supplied data. In this paper a generalized delta rule with a new error function is presented. Keywords: neural networks, delta rule, error function, cost function.