Applied Immune Algorithm to Search Optimum Compositions of Solid-state Catalysts

Autor:	Yuko Ishiwaka, Harumi Matsui, Osamu Konishi, Junya Kobayashi
Rok vydání:	2007
Předmět:	Materials science Artificial neural network Solid-state High activity Algorithm Catalysis
Zdroj:	Advances in Soft Computing ISBN: 9783540250555 WSTST
DOI:	10.1007/3-540-32391-0_33
Popis:	An immune algorithm is applied to search optimal concentrations of solid-state catalysts. In order to evaluate the activity of catalysts, an artificial neural network trained by the observed data is adopted. This method makes us possible to obtain potential catalyst composition with high activity.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fd43e720a6c790e291d34f2763902d1b https://doi.org/10.1007/3-540-32391-0_33 Zobrazit plný text záznamu