71220

Автор(ы): 

Зенков В. В. (ИПУ РАН, Лаборатория 41)

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Доклад

Название: 

Anderson Discriminant Function Instead of an Artificial Neural Network for Evaluation of Class Posterior Probabilities

DOI: 

10.1109/MLSD55143.2022

Наименование конференции: 

  • 2022 15th International Conference Management of large-scale system development (MLSD)

Наименование источника: 

  • Proceedings of the 15th International Conference Management of Large-Scale System Development (MLSD)

Город: 

  • Москва

Издательство: 

  • IEEE

Год издания: 

2022

Страницы: 

https://doi.org/10.1109/MLSD55143.2022.9934425
Аннотация
We propose a non-parametric approximation of the Anderson discriminant function and class posterior probability for solving classification problems. It is necessary to choose only one parameter of the weight function, in contrast to the many parameters used to solve the classification problem by the artificial neural network method.

Библиографическая ссылка: 

Зенков В.В. Anderson Discriminant Function Instead of an Artificial Neural Network for Evaluation of Class Posterior Probabilities / Proceedings of the 15th International Conference Management of Large-Scale System Development (MLSD). М.: IEEE, 2022. С. https://doi.org/10.1109/MLSD55143.2022.9934425.