Fuzzy min-max neural networks: from classification to regression (Q1606770)

In this paper we show two new learning algorithms for a fuzzy min -- max neural network. The top down fuzzy min -- max (TDFMM) algorithm modifies the classic Simpson's learning algorithm overcoming its main difficulties: the dependence on the presentation order of the patterns and the poor resolutive adaptation to the characteristics of input space. The top down fuzzy min -- max regressor (TDFMMR) algorithm extends our neural network to solve regression problems by using a hybrid fuzzy classifier and a gradient descent algorithm.