Neural Network Effectiveness Evaluation While the Intersection of Images in the Receptor Field-Reference-Cited by-同舟云学术

Neural Network Effectiveness Evaluation While the Intersection of Images in the Receptor Field

Published:2021-02-24 Issue: Volume:17 Page:172-176
ISSN:2224-3402
Container-title:WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
language:en
Short-container-title:

Author:

Sargsyan Siranush¹,Hovakimyan Anna¹

Affiliation:

1. Department of Programming and Information Technologies, Yerevan State University, a.manoogian, 1, Yerevan, 0025, Armenia

Abstract

The study and application of neural networks is one of the main areas in the field of artificial intelligence. The effectiveness of the neural network depends significantly on both its architecture and the structure of the training set. This paper proposes a probabilistic approach to evaluate the effectiveness of the neural network if the images intersect in the receptor field. A theorem and its corollaries are proved, which are consistent with the results obtained by a different path for a perceptron-type neural network.

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Subject

Computer Science Applications,Information Systems

Reference6 articles.

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4. Sevastyanov B.A. The course of probability theory and mathematical statistics, M., Nauka, 1982.

5. S. Sargsyan, A. Hovakimyan, Probabilistic Methods for Neural Networks Study, Quarterly Journal of Mechanics and Applied Mathematics, Issue 4 (2), Volume 69,“Oxford University Press”, Nov. 2016, pp.669-675

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