Incremental Min-Max Network.Part 2: Continuous and Discrete Spaces

摘要

Neuro-fuzzy networks based on Simpson's Min-Max model are a very important and active research topic. In the present paper an incremental approach for hybrid data is discussed, with the aim of obtaining a better classification when data in the input space are completely or partially discrete. Experiments show promising results.