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

MATEC Web of Conferences. 2016;60:04007 DOI 10.1051/matecconf/20166004007


Journal Homepage

Journal Title: MATEC Web of Conferences

ISSN: 2261-236X (Online)

Publisher: EDP Sciences

LCC Subject Category: Technology: Engineering (General). Civil engineering (General)

Country of publisher: France

Language of fulltext: French, English

Full-text formats available: PDF



Lewicki Andrzej (Poznan University of Life Sciences, Institute of Biosystem Engineering)

Bugała Artur (Poznan University of Technology, Institute of Electrical Engineering and Electronics)

Piekarska-Boniecka Hanna (Poznan University of Life Sciences, Department of Entomology and Environmental Protection)

Lewicka Aleksandra (Poznan University of Technology, Institute of Environmental Engineering)

Boniecki Piotr (Poznan University of Life Sciences, Institute of Biosystem Engineering)

Cieślik Marta (Poznan University of Life Sciences, Institute of Biosystem Engineering)


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Time From Submission to Publication: 6 weeks


Abstract | Full Text

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.