DocumentCode
763184
Title
Artificial neural networks: a tutorial
Author
Jain, Anil K. ; Mao, Jianchang ; Mohiuddin, K.M.
Author_Institution
Michigan State Univ., East Lansing, MI, USA
Volume
29
Issue
3
fYear
1996
fDate
3/1/1996 12:00:00 AM
Firstpage
31
Lastpage
44
Abstract
Artificial neural nets (ANNs) are massively parallel systems with large numbers of interconnected simple processors. The article discusses the motivations behind the development of ANNs and describes the basic biological neuron and the artificial computational model. It outlines network architectures and learning processes, and presents some of the most commonly used ANN models. It concludes with character recognition, a successful ANN application
Keywords
character recognition; neural nets; neurophysiology; ANN application; artificial computational model; artificial neural networks; basic biological neuron; character recognition; interconnected simple processors; learning processes; massively parallel systems; network architectures; Artificial neural networks; Biological neural networks; Biological system modeling; Biology computing; Computer architecture; Concurrent computing; Humans; Integrated circuit interconnections; Parallel processing; Tutorial;
fLanguage
English
Journal_Title
Computer
Publisher
ieee
ISSN
0018-9162
Type
jour
DOI
10.1109/2.485891
Filename
485891
Link To Document