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Hybrid Intelligent Systems Based on Fuzzy Logic and Deep Learning

  • Alexey AverkinEmail author
Chapter
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11866)

Abstract

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.

Keywords

Deep learning Neural networks Rule extraction Convolutional neural network Machine learning Artificial intelligence 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Federal Research Centre of Informatics and Computer Science of RAS, MoscowMoscowRussia

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