Comparison between different Artificial Neural Network architectures in VLE prediction models using experimental and simulated data (via Modified Raoult's Law) of binary systems

Autor:	Gustavo Mendes Platt, Daniel Gomes Ribeiro, João Flávio Vieira de Vasconcellos
Rok vydání:	2015
Předmět:	Artificial neural network Computer science business.industry Simulated data Binary number Raoult's law Artificial intelligence business Predictive modelling
Zdroj:	23rd ABCM International Congress of Mechanical Engineering.
ISSN:	2176-5480
DOI:	10.20906/cps/cob-2015-1311
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f33397db64fd59c4b68b3d415eee6245 https://doi.org/10.20906/cps/cob-2015-1311 Zobrazit plný text záznamu