ANFIS approach to the working of a compost-heat extractor
by R. Arul Gnanaraj; K.S. Ravichandran; N. Anantharaman; K.M. Meera Sheriffa Begum
International Journal of Environment and Waste Management (IJEWM), Vol. 11, No. 1, 2013

Abstract: Composting is an organic sludge management option in which volatile solids are converted to carbon dioxide and water. As the sugar cane press mud undergoes aerobic composting, the bed heats-up to a temperature in the range of 50-70°C, releasing thermal energy and the heat liberated was extracted using a heat pipe. A neural network approach is applied to analyse the data obtained from the microbially heated press mud compost-bed. This paper discusses, the design, implementation and performance of the proposed neural network and Artificial Neural Fuzzy Inference System (ANFIS) for the above process.

Online publication date: Sat, 20-Sep-2014

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