DocumentCode :
2333865
Title :
Neural networks-twelve learning algorithms
Author :
Vassiliadis, C.A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Ohio Univ., Athens, OH, USA
fYear :
1990
fDate :
11-13 Mar 1990
Firstpage :
449
Lastpage :
454
Abstract :
A review of the 12 major learning algorithms is presented, and an extensive set of references is provided. The models are represented in chronological order from the Perceptron (1957) to the Functional Link Net (1988)
Keywords :
learning systems; neural nets; Functional Link Net; Perceptron; learning algorithms; neural networks; Artificial neural networks; Backpropagation algorithms; Biological neural networks; Biological system modeling; Books; Character recognition; Computer networks; Nervous system; Neural networks; Neurons;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Theory, 1990., Twenty-Second Southeastern Symposium on
Conference_Location :
Cookeville, TN
ISSN :
0094-2898
Print_ISBN :
0-8186-2038-2
Type :
conf
DOI :
10.1109/SSST.1990.138188
Filename :
138188
Link To Document :
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