ANALYSIS AND IMPROVEMENT OF FTART ALGORITHM
对FTART算法的研究及改进

FTART(field theory based ART) algorithm combines the theory of ART(adaptive resonance theory), ARTMAP and field theory. It corrects the generated classification regarding the supposed distribution possibility of examples in the instance space. FTART employes a different conflict resolve process and dynamicly expanding the classification area. By further studies, the paper improves the algorithm's ability of learning continuous function mappings. Some benchmark test results and the analysis are also given. They proved that FTART has good performance on pattern recognition and continuous function mapping.