NEURAL NETWORKS operation speed ESTIMATION for identification of signals in defect detection

Автор(и)

  • O.  Starodubtsev
  • V.  Khandetskyi

Ключові слова:

neural networks, defect detection, composite materials

Анотація

Using the computer simulation, we determined the degree of influence of structural parameters and learning methods of multilayer perceptrons with back propagation algorithm on their operation speed when identifying the defect detection signals for composite materials. The obtained results have a practical importance for real-time studies.

Завантаження

Опубліковано

2020-05-04