Advantages and Disadvantages of Learning a Multilayer Neural Network Using a Genetic Algorithm

Authors

  • M.L. Kovalchuk Yuriy Fedkovich Chernivtsi National University
  • P.I. Ushtan Yuriy Fedkovich Chernivtsi National University
  • Yu.O. Ushenko Yuriy Fedkovich Chernivtsi National University
  • I.V. Soltys Yuriy Fedkovich Chernivtsi National University

DOI:

https://doi.org/10.31649/1681-7893-2022-43-1-19-23

Keywords:

genetic algorithm, neural network, neural network training

Abstract

The advantages and disadvantages of learning a multilayer neural network using genetic algorithm are studied. Investigation was conducted on the basis of the developed software, which allows to detect indications of diseases by analyzing photographs of human organs` tissues. The Java programming language was used to implement the project. The software product consists of modules that implement: multilayer neural network, genetic algorithm and mechanism for reading and processing images from the file system. The genetic algorithm is used to calculate the initial values of synaptic weights, which are specified by the error propagation algorithm.

Author Biographies

M.L. Kovalchuk, Yuriy Fedkovich Chernivtsi National University

Ph.D., Docent of Computer Science Department

P.I. Ushtan, Yuriy Fedkovich Chernivtsi National University

Master of Computer Science, Computer Science Department

Yu.O. Ushenko, Yuriy Fedkovich Chernivtsi National University

D.Sc., Professor of Computer Science Department

I.V. Soltys, Yuriy Fedkovich Chernivtsi National University

Ph.D., Assistant Professor of Optics and Publishing Department

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Published

2022-12-28

How to Cite

[1]
M. Kovalchuk, P. Ushtan, Y. Ushenko, and I. Soltys, “Advantages and Disadvantages of Learning a Multilayer Neural Network Using a Genetic Algorithm”, Опт-ел. інф-енерг. техн., vol. 43, no. 1, pp. 19–23, Dec. 2022.

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Section

Systems Of Technical Vision And Artificial Intelligence, Image Processing And Pattern Recognition

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