Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Neena Ahuja"'
Publikováno v:
International Journal of Environment and Waste Management. 24:354-377
A Mamdani fuzzy inference system has been proposed here to work as a decision support model for evaluating the appropriateness of the 'waste to energy' anaerobic digester feedstock. Methane yield depends upon the nature of feedstock and the pH enviro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73e157179e8a67a9b7b96177ef9c845a
https://doi.org/10.1504/ijewm.2019.103642
https://doi.org/10.1504/ijewm.2019.103642
Publikováno v:
2015 International Conference on Soft Computing Techniques and Implementations (ICSCTI).
Fuzzy Inference System was designed to select the combination of feedstock that would provide over 55% methane yield in an anaerobic biogas digester at the same time maintaining neutral pH in it. This area was left untouched by fuzzy system experts i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a13d3b0dae4d365f981990015adf8365
https://doi.org/10.1109/icscti.2015.7489607
https://doi.org/10.1109/icscti.2015.7489607