DocumentCode :
957038
Title :
Machine intelligence
Author :
Fogel, David B.
Author_Institution :
Natural Selection, Inc., La Jolla, CA, USA
Volume :
9
Issue :
3
fYear :
2006
fDate :
6/1/2006 12:00:00 AM
Firstpage :
12
Lastpage :
16
Abstract :
As computers continue to increase in speed, the advantages that machine learning can offer will likewise increase. Computational intelligence methods, such as neural, evolutionary, and fuzzy computing, will continue to be applied to diverse problems in instrumentation and measurement as well as other fields. As with all machine learning methods, these approaches require a data structure to represent solutions, a performance index to evaluate solutions, and some method to generate new solutions from old solutions, and select which solutions to favor.
Keywords :
data structures; evolutionary computation; fuzzy neural nets; learning (artificial intelligence); computational intelligence; data structure; evolutionary computation; fuzzy computation; machine intelligence; neural computation; performance index; Biological system modeling; Biology computing; Brain modeling; Calculators; Competitive intelligence; Computational intelligence; Humans; Learning systems; Machine intelligence; Neurons;
fLanguage :
English
Journal_Title :
Instrumentation & Measurement Magazine, IEEE
Publisher :
ieee
ISSN :
1094-6969
Type :
jour
DOI :
10.1109/MIM.2006.1637973
Filename :
1637973
Link To Document :
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