The purpose of this lecture is to establish the fundamental links between two important areas of artificial intelligence - fuzzy logic and deep learning. This approach will allow researchers in the field of fuzzy logic to develop application systems in the field of strong artificial intelligence, which are also of interest to specialists in the field of machine learning. The lecture also examines how neuro-fuzzy networks make it possible to establish a link between symbolic and connectionist schools of artificial intelligence. A lot of methods of rule extraction from neural networks are also investigated.
CITATION STYLE
Averkin, A. (2019). Hybrid intelligent systems based on fuzzy logic and deep learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11866 LNAI, pp. 3–12). Springer. https://doi.org/10.1007/978-3-030-33274-7_1
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