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
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;
Conference_Titel :
Decision and Control, 1988., Proceedings of the 27th IEEE Conference on
Conference_Location :
Austin, TX
DOI :
10.1109/CDC.1988.194326
