Incremental Min-Max Network.Part 1: Continuous Spaces

摘要

A very important and active research topic are Fuzzy Min-Max neural networks. In the present paper an incremental Min-Max based learning algorithm is discussed in comparison with traditional and optimized ones, with the aim of obtaining a better decision region in the input space and an optimal structural complexity. Experiments show promising results.