Издательство: "International Conference on Applied and Engineering Mathematics"
| Название: | Improving algorithms for learning of radial basis functions networks for approximation problems and solving partial differential equations | 
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| Автор ПГУ: | Горбаченко Владимир Иванович  | |
| Тематика: | физико-математические науки | |
| Вид ресурса: | электронное немультимедийное издание | |
| Тип ресурса: | Статья | |
| Целевое назначение: | Научное | |
| Целевая аудитория: | Исследователь | |
| Аннотация: | The learning of radial basis functions networks for solving approximation problems and partial differential equations is considered. Realizations of the accelerated gradient of Nesterov and Levenberg-Marquardt were proposed for learning networks, which made it possible to significantly reduce the training time. | |
| Дата издания: | 2019 | |
| Дата загрузки: | 18.11.2019 | |
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ИР получен из базы данных "Scopus" автоматически
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