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
Link To Document :
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