Optimization of conditions (pH and temperature) for Lemna gibba production using fuzzy model coupled with Mamdani’s method

Autor:	Surindra Suthar, Rashmi Verma, Kapil Kumar, Shikhar Deep
Rok vydání:	2015
Předmět:	Environmental Engineering Fuzzy rule biology Lemna gibba Fuzzy model Environmental engineering Biomass Management Monitoring Policy and Law biology.organism_classification Fuzzy logic Fuzzy inference system Production (economics) Biological system Nature and Landscape Conservation Mathematics
Zdroj:	Ecological Engineering. 83:452-455
ISSN:	0925-8574
DOI:	10.1016/j.ecoleng.2015.07.006
Popis:	A fuzzy-logic-based diagnosis system was developed to determine the effect of pH and temperature on duckweed Lemna gibba biomass production. The measured data of variables were implemented into the fuzzy inference system (FIS) with Mamdani’s method. A fuzzy rule-based model was shaped to define the essential quality parameters monitored as pH and temperature as inputs. The fuzzy modeled values of biomass gain were validated against the experimental values with a strong correlation (r2) of 0.98.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8cc31fed2e8cea81143312eb1062d053 https://doi.org/10.1016/j.ecoleng.2015.07.006 Zobrazit plný text záznamu Full Text from ScienceDirect