A forward-propagation learning rule for neural inverse models in consideration of the correlation of propagated errors

Autor:	Yoshihiro Ohama, Naohiro Fukumura, Yoji Uno
Rok vydání:	2006
Předmět:	Computational Theory and Mathematics Hardware and Architecture Information Systems Theoretical Computer Science
Zdroj:	Systems and Computers in Japan. 37:54-66
ISSN:	1520-684X 0882-1666
DOI:	10.1002/scj.20484
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ba8abb81b677c62b2e51fe3648140fd9 https://doi.org/10.1002/scj.20484 Zobrazit plný text záznamu Plný text