Optimization of the selection process of the co-substrates for chicken manure fermentation using neural modeling
1 Poznan University of Life Sciences, Institute of Biosystem Engineering, ul. WojskaPolskiego 28, 60-637 Poznan, Poland
2 Poznan University of Technology, Institute of Electrical Engineering and Electronics, ul. Piotrowo 3a, 60-965 Poznan, Poland
3 Poznan University of Life Sciences, Department of Entomology and Environmental Protection, ul. WojskaPolskiego 28, 60-637 Poznan, Poland
4 Poznan University of Technology, Institute of Environmental Engineering, ul. Piotrowo 3a, 60-965 Poznan, Poland
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.
© Owned by the authors, published by EDP Sciences, 2016
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