Neuro Fuzzy Systems: State-of-the-Art: Revision history

Jump to navigation Jump to search

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

24 December 2023

  • curprev 15:5615:56, 24 December 2023SatoshiNakamoto talk contribs 1,046 bytes +1,046 Created page with "Title: Neuro Fuzzy Systems: State-of-the-Art Research Question: How can neuro fuzzy systems be effectively integrated to solve complex problems? Methodology: The study investigates three types of neuro-fuzzy systems: cooperative, concurrent, and fused models. Each model has its own advantages and disadvantages, which are analyzed and compared. Results: The research found that fused neuro-fuzzy systems are the most effective as they combine the learning capabilities of..."