Neural network analysis of small samples using a large number of statistical criteria to test the sequence of hypotheses about the value of mathematical expectations of correlation coefficients
Background. The purpose of the article is to improve the accuracy of neural network estimates of correlation coefficients. Materials and methods. The correlation coefficient is one of the most significant second-order statistical points. When training networks of quadratic neurons on small sample...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penza State University Publishing House
2024-11-01
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| Series: | Известия высших учебных заведений. Поволжский регион:Технические науки |
| Subjects: |