Abstract
In this paper, a new method for inducing symbolic knowledge from empirical data is proposed. This method consists of four steps. Firstly, linguistic variables of fuzzy membership functions are simply defined using an analysis of histograms. Secondly, weights of the Hopfield network are calculated! Thirdly, the states of the Hopfield network are asynchronously updated until these states remain unchanged. In the fourth step, rules are extracted via our proposed algorithm. The experiments in three data sets show good Derformance.
