Julia Hattendorf is studying Cognitive Science in Osnabrück. She found the topic for her bachelor thesis more or less by accident: While searching the internet, she stumbled across neuro-fuzzy systems. In this episode she talks about what that is and what one can do with it.
Mentioned/Recommended papers:
Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353.
Lee, S. C., & Lee, E. T. (1975). Fuzzy neural networks. Mathematical Biosciences, 23(1-2), 151-177.
Jang, J. S. (1993). ANFIS: adaptive-network-based fuzzy inference system. IEEE transactions on systems, man, and cybernetics, 23(3), 665-685.
Talpur, N., Abdulkadir, S. J., Alhussian, H., Hasan, M. H., Aziz, N., & Bamhdi, A. (2022). A comprehensive review of deep neuro-fuzzy system architectures and their optimization methods. Neural Computing and Applications, 1-39.
Credits:
Produced by: Sophie Kühne and Alina Ohnesorge
Logo by: Annika Richter
Music by: Jan-Luca Schröder
