Artificial neural networks

1 April 1991

journal article
Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Potentials

Vol. 10 (2) , 33-36
https://doi.org/10.1109/45.84097

Abstract

A general neural network model is introduced. The authors begin with a discussion of models for both individual neurons and for networks of neurons. A common learning rule, i.e. backward error propagation, also known as backpropagation, is described briefly and applied to an example problem.

Keywords

ARTIFICIAL NEURAL NETWORKS
NEURONS
BIOLOGICAL NEURAL NETWORKS
NEURAL NETWORKS
MACHINE INTELLIGENCE
PHYSICS
PSYCHOLOGY
MATHEMATICS
BIOLOGY
CHEMISTRY

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