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Artificial Intelligence and Fuzzy Machine Learning with Python

EasyChair Preprint no. 11762

5 pagesDate: January 13, 2024


deep learning is identifying particular information from the problem. Neural network is useful for deep learning. Fuzzy deep learning is finding information from incomplete information.   The fuzzy logic deals with incomplete information.  In this paper, fuzzy neural networks are discussed for fuzzy deep learning.   The single fuzzy membership function is not sufficient to deal with incomplete problems.  The two fold fuzzy set will give more evidence than the single fuzzy membership function. Deep learning is studied using twofold fuzzy logic. Medical eye diagnosis is given as an example.

Keyphrases: deep learning, Fuzzy Logic, medical expert systems, text processing

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Poli Venkatasubba Reddy},
  title = {Artificial Intelligence and Fuzzy Machine Learning  with Python},
  howpublished = {EasyChair Preprint no. 11762},

  year = {EasyChair, 2024}}
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