Short-Text:
Interactive Machine Learning with Evolving Fuzzy Systems
The central goal of this project is to develop methods enabling advanced interaction (and
communication) between humans and evolving soft computing models (especially Evolving (neuro-)fuzzy systems) in an ongoing on-line, incremental learning context, where knowledge changes, expansion, and contraction in the model(s) are realized by an on-going adaptation with both, data and human input (=> hybrid modeling paradigm).
This should be ideally constituted in a way such that the communication is as economic and as
Partner:
None, Basic Research Project (FWF)