Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-II-2023); Krasnoyarsk; Krasnoyarsk
Год издания: 2024
Идентификатор DOI: 10.1051/itmconf/20245904010
Аннотация: The loss function is a fundamental aspect of neural network training and by choosing a suitable one, better results can be achieved. In classification problems, the cross-entropy loss function is almost exclusively used. In this paper the loss function represented by Taylor's series which are optimized with multi-objective evolutioПоказать полностьюnary algorithm. As results show the new loss function can be better than cross-entropy, however application of multi-objective algorithm does not bring an improvement in comparison with single-objective algorithm.
Журнал: Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-II-2023)
Номера страниц: 4010
Место издания: Krasnoyarsk