DocumentCode
2928966
Title
Computer pedagogy - the learning procedure of artificial neural network and neural computer
Author
Liu, Ruizheng
Author_Institution
Dept. of Comput. Sci., Henan Normal Univ., Xinxiang, China
fYear
1998
fDate
14-17 Sep 1998
Firstpage
875
Lastpage
877
Abstract
Artificial neural network (ANN) has proved to be a new kind of knowledge representation scheme and a new road to artificial intelligence. It is a method for designing a new kind of computer different from Von Neumann structure - a neural computer. The most important aspect in designing an ANN system or neural computer is learning. The learning procedure include many things, such as: what algorithm should be used in the learning procedure? what material should be used in the learning procedure? in what manner should the learning procedure be done? and how one should prepare the learning procedure? We believe the learning procedure of ANN is very similar to the education procedure of human being. This leads to the point of view of computer education. Based on this view, not from the standpoint of algorithm, this paper discuss some of the problems in the learning procedure of ANNs and neural computers
Keywords
knowledge representation; learning (artificial intelligence); neural nets; artificial intelligence; computer education; computer pedagogy; knowledge representation; learning procedure; neural computer; neural network; Artificial neural networks; Computer networks; Computer science; Computer science education; Electronics industry; Expert systems; Humans; Industrial electronics; Neural networks; Roads;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control (ISIC), 1998. Held jointly with IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), Intelligent Systems and Semiotics (ISAS), Proceedings
Conference_Location
Gaithersburg, MD
ISSN
2158-9860
Print_ISBN
0-7803-4423-5
Type
conf
DOI
10.1109/ISIC.1998.713834
Filename
713834
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