DocumentCode :
3124157
Title :
Intelligent space
Author :
Hu, Zhaoguang
Author_Institution :
Electr. Power Res. Inst., Beijing, China
Volume :
3
fYear :
1999
fDate :
22-25 Aug. 1999
Firstpage :
1621
Abstract :
Artificial intelligence (AI), neural networks (NN) and fuzzy systems (FS) have been studied in parallel and have had a measures of success in many areas in the past few decades. AI, NN and FS have one thing in common, they all attempt to make the computer duplicates the behaviors of human´s intelligence, i.e., their goal is to produce intelligent machines. However, with different methodologies, the three techniques are performing with advantages and limitations respectively. The main idea of the intelligent engineering (IE) is to combine all of the techniques together to share the advantages and avoid the limitations in solving engineering problems. The concept of IE and other definitions have been defined and studied in the author´s previous papers (1995, 1997). In this paper, an intelligent space is defined and the theoretical approaches of IE are studied in the intelligent space. The effectiveness of IE is proved in this paper.
Keywords :
artificial intelligence; engineering computing; fuzzy set theory; fuzzy systems; knowledge representation; neural nets; artificial intelligence; fuzzy set theory; fuzzy systems; intelligent engineering; intelligent space; knowledge representation; neural networks; Area measurement; Artificial intelligence; Artificial neural networks; Expert systems; Fuzzy systems; Humans; Intelligent systems; Machine intelligence; Neural networks; Power engineering and energy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
Conference_Location :
Seoul, South Korea
ISSN :
1098-7584
Print_ISBN :
0-7803-5406-0
Type :
conf
DOI :
10.1109/FUZZY.1999.790147
Filename :
790147
Link To Document :
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