Optimization of the selection process of the co-substrates for chicken manure fermentation using neural modeling

Autor: Lewicki Andrzej, Bugała Artur, Piekarska-Boniecka Hanna, Lewicka Aleksandra, Boniecki Piotr, Cieślik Marta
Jazyk: English<br />French
Rok vydání: 2016
Předmět:
Zdroj: MATEC Web of Conferences, Vol 60, p 04007 (2016)
Druh dokumentu: article
ISSN: 2261-236X
DOI: 10.1051/matecconf/20166004007
Popis: Intense development of research equipment leads directly to increasing cognitive abilities. However, along with the raising amount of data generated, the development of the techniques allowing the analysis is also essential. Currently, one of the most dynamically developing branch of computer science and mathematics are the Artificial Neural Networks (ANN). Their main advantage is very high ability to solve the regression and approximation issues. This paper presents the possibility of application of artificial intelligence methods to optimize the selection of co-substrates intended for methane fermentation of chicken manure. 4-layer MLP network has proven to be the optimal structure modeling the obtained empirical data.
Databáze: Directory of Open Access Journals