S1 #9 What is a Fuzzy Neural Network? Brain-to-brain with Julia Hattendorf.

from Kaleidoscience: Conversations on Cognitive Science · host Imogen Hüsing, Sophie Kühne, Sönke Lülf, Elisa Palme

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

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This episode was published on February 8, 2024.

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