Loss Function Considering Multiple Attributes of a Temporal Sequence for Feed-Forward Neural Networks

Autor:	Tatsuya Hirahara, Noriyuki Matsunaga, Yamato Ohtani
Rok vydání:	2020
Předmět:	Artificial Intelligence Hardware and Architecture Computer science Feed forward neural Computer Vision and Pattern Recognition Fundamental frequency Function (mathematics) Electrical and Electronic Engineering Algorithm Software Sequence (medicine)
Zdroj:	IEICE Transactions on Information and Systems. :2659-2672
ISSN:	1745-1361 0916-8532
DOI:	10.1587/transinf.2020edp7078
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bdd78c6e50344be5e706774771d97fb3 https://doi.org/10.1587/transinf.2020edp7078 Zobrazit plný text záznamu