Artificial neural networks: a tutorial
Jain, A.K.
Jianchang Mao
Mohiuddin, K.M.
Michigan State Univ., East Lansing, MI;
This paper appears in: Computer
Publication Date: Mar 1996
Volume: 29,
Issue: 3
On page(s): 31-44
ISSN: 0018-9162
References Cited: 21
CODEN: CPTRB4
INSPEC Accession Number: 5250867
Digital Object Identifier: 10.1109/2.485891
Current Version Published: 2002-08-06
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
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