Deep neuro-fuzzy architectures

Anuar Dorzhigulov, Alex James Pappachen

Research output: Chapter in Book/Report/Conference proceedingChapter


Fuzzy logic inspires from the non-deterministic behaviour of human brain computations. The fusion of neural networks and fuzzy logic such as neuro-fuzzy architectures is natural, as both represent elementary inspiration from brain computations involving learning, adaptation and ability to tolerate noise. This chapter focuses on neuro-fuzzy and alike solutions for machine learning from perspective of functionality, architectures and applications.

Original languageEnglish
Title of host publicationModeling and Optimization in Science and Technologies
PublisherSpringer Verlag
Number of pages19
Publication statusPublished - Jan 1 2020

Publication series

NameModeling and Optimization in Science and Technologies
ISSN (Print)2196-7326
ISSN (Electronic)2196-7334


ASJC Scopus subject areas

  • Modelling and Simulation
  • Medical Assisting and Transcription
  • Applied Mathematics

Cite this

Dorzhigulov, A., & James Pappachen, A. (2020). Deep neuro-fuzzy architectures. In Modeling and Optimization in Science and Technologies (pp. 195-213). (Modeling and Optimization in Science and Technologies; Vol. 14). Springer Verlag.