Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: IV International Conference on Advances in Materials, Earth Science and Technology (CAMSTech-IV-2024); Bukhara; Bukhara
Год издания: 2026
Идентификатор DOI: 10.1063/5.0322146
Аннотация: In this paper, a method for optimizing the parameters of the loss function for the classification problem by neural networks is proposed. A simplified Taylor polynomial was used as the loss function. Differential evolution with success rate-based adaptation was used to find the optimal parameters. The cross-entropy value was used aПоказать полностьюs the fitness value. Experiments on CIFAR-10 task can show, the purposed approach allows to achieve better results compared using Cross-Entropy. The curve of the discovered loss function exhibits a distinctly different form compared to the cross-entropy, featuring two distinct points of minimum at the probability of correct prediction equal to 0 and 1.
Журнал: Proceedings of the IV International Conference on Advances in Materials, Earth Science and Technology (CAMSTech-IV-2024)
Номера страниц: 60026
Место издания: Melville