• DocumentCode
    3721639
  • Title

    Computational intelligence, fuzzy systems, and machine learning: Academic vs industrial learning

  • Author

    Roman Neruda;Juan Carlos Figueroa-Garc?a

  • Author_Institution
    Institute of Computer Science, Academy of Sciences of the Czech Republic, Prague - Czech Republic
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Computational intelligence, fuzzy systems, and machine learning have become very popular in different academies around the globe, including mathematics, statistical, computer science, philosophy departments, etc. While a large body of academic research has been done in the last 50 years, industrial and real world applications are incipient when compared to the amount of people involved in academic research. Thus, there are many questions and complaints to be answered in order to apply all we (scientists) have done. To do so, we provide a short-comprehensive diagnosis of the current situation and provide some short term strategies to improve the link between industry applications of academic research.
  • Keywords
    "Education","Artificial intelligence","Fuzzy sets","Companies","Uncertainty","Fuzzy systems","Computer science"
  • Publisher
    ieee
  • Conference_Titel
    Engineering Applications - International Congress on Engineering (WEA), 2015 Workshop on
  • Type

    conf

  • DOI
    10.1109/WEA.2015.7370156
  • Filename
    7370156