Communications of the
ACM
Vol. 37, No. 3 (March 1994), Pages 87-92
[Index
Terms] ..... [Review]
[Full
Text in PDF Format, 2430 KB]
General Terms
DESIGN, THEORY
Categories and Subject Descriptors
| F.1.1 | Theory of Computation, COMPUTATION BY ABSTRACT DEVICES, Models of Computation, Self-modifying machines. | |
| I.2.6 | Computing Methodologies, ARTIFICIAL INTELLIGENCE, Learning, Connectionism and neural nets. | |
| C.1.3 | Computer Systems Organization, PROCESSOR ARCHITECTURES, Other Architecture Styles, Neural nets. | |
| A.1 | General Literature, INTRODUCTORY AND SURVEY. |
A long list of scientists motivated to work in the neural network area begins
this introductory paper. The paper proceeds with an overview of a basic model of
a neuron, a sketch of a brain-like computational device, and a historical
overview of neural network work. Learning by example, the backpropagation
learning procedure, and generalization are treated in some detail. The paper
concludes with hints for successful applications. The references cover a wider
than usual span of time, presenting some important earlier work. The paper can
be good reading for those wishing to get an overview of basic neural network
ideas and some implementation insight in the shortest time with the smallest
effort. From Computing
Reviews
J. Tepandi