DocumentCode
2970933
Title
Applications and analysis of second order artificial neural networks
Author
Soon, V.C. ; Huang, Y.F.
Author_Institution
Dept. of Electr. & Comput. Eng., Notre Dame Univ., IN, USA
fYear
1988
fDate
7-9 Dec 1988
Firstpage
348
Abstract
The authors investigate a two-layer artificial neural network which consists of one hidden layer of second-order neurons and an output layer of first-order neurons. The second-order neurons yield conic-surface types of decision regions such as ellipses and parabolas. A simulation example is presented. It is shown that such networks yield more flexibility than first-order networks. An analysis of the memory capacities of single-layer and two-layer networks is presented
Keywords
neural nets; physiological models; conic-surface types; decision regions; first-order neurons; memory capacities; second-order neurons; two-layer artificial neural network; Application software; Artificial neural networks; Computational modeling; Covariance matrix; Feedforward neural networks; Information retrieval; Intelligent networks; Neural networks; Neurons; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1988., Proceedings of the 27th IEEE Conference on
Conference_Location
Austin, TX
Type
conf
DOI
10.1109/CDC.1988.194326
Filename
194326
Link To Document