| Issue |
Title |
| No 3 (2023) |
On the quality of training artificial neural networks without initial data preprocessing under conditions of their limited set |
|
|
Kozhemyakin L.V., Alekseev A.O. |
| No 1 (2019) |
CREATING NEURAL NETWORK FOR IDENTIFICATION OF POTENTIAL BANK CUSTOMERS |
|
|
Zadvornaya I.A., Romakina O.M. |
| No 4 (2021) |
INTELLECTUAL ANALYSIS OF INFORMATION ABOUT USERS OF SOCIAL NETWORKS |
|
|
Shestakov T.A., Leonov J.A., Kuzmenko A.A., Sazonova A.S., Filippov R.A. |
| No 1 (2024) |
Technology for constructing quite interpretable quasilinear regression models |
|
|
Bazilevskiy M.P. |
| No 1 (2015) |
Application negentropy approach by controlling the level of professional training of students |
|
|
Bukalova N.P., Bukalova A.I. |
| No 4 (2023) |
Comparison of features elimination methods for geomagnetic data classification |
|
|
Gainetdinova A.A., Vorobev A.V. |
| No 4 (2023) |
Review of methods and systems for generation of synthetic training data |
|
|
Rabchevsky A.N. |
| 1 - 7 of 7 Items |
|