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Comparison of sinusoidal perceptron with multilayer classical perceptron
Author(s): B. Karimi; T. Baradaran; Kaveh Ashenayi; James Vogh
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Paper Abstract

A new multi-threshold Perceptron capable of handling both binary and analog input is presented and discussed. The modified Perceptron replaces the sigmoid function with sinusoidal function. A computer program has been developed to simulate behavior of a network utilizing the modified Perceptron. Both XOR and Parity Check problems were solved using a single-layer network utilizing this modified Perceptron. Based on the results obtained from the simulation the modified Perceptron is capable of solving problems (such as XOR) that can not be solved using a single-layer of the classical Perceptron. Also a network utilizing this modified Perceptron requires fewer number of iterations to converge to a solution than that of a multi-layer Perceptron network using back propagation. 1.

Paper Details

Date Published: 1 March 1991
PDF: 11 pages
Proc. SPIE 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90, (1 March 1991); doi: 10.1117/12.25815
Show Author Affiliations
B. Karimi, Univ. of New Haven (United States)
T. Baradaran, Southern Connecticut State Univ. (United States)
Kaveh Ashenayi, Univ. of Tulsa (United States)
James Vogh, Univ. of Tulsa (United States)

Published in SPIE Proceedings Vol. 1396:
Applications of Optical Engineering: Proceedings of OE/Midwest '90
Rudolph P. Guzik; Hans E. Eppinger; Richard E. Gillespie; Mary Kathryn Dubiel; James E. Pearson, Editor(s)

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