Comparison of sinusoidal perceptron with multilayer classical perceptron

B. Karimi; T. Baradaran; Kaveh Ashenayi; James Vogh

doi:10.1117/12.25815

1 March 1991 Comparison of sinusoidal perceptron with multilayer classical perceptron

B. Karimi, T. Baradaran, Kaveh Ashenayi, James Vogh

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Proceedings Volume 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90; (1991) https://doi.org/10.1117/12.25815
Event: Applications of Optical Engineering: Proceedings of OE/Midwest '90, 1990, Rosemont, IL, United States

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.

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B. Karimi, T. Baradaran, Kaveh Ashenayi, and James Vogh "Comparison of sinusoidal perceptron with multilayer classical perceptron", Proc. SPIE 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90, (1 March 1991); https://doi.org/10.1117/12.25815

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KEYWORDS

Optical engineering

Binary data

Neurons

Analog electronics

Computer simulations

Neural networks

Electrical engineering

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