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- W2335709862 abstract "Sucrose in the final molasses continues to be a source of major financial loss to sugar refineries worldwide. This study therefore aims at rectifying this anomaly. In this study, the final molasses exhaustibility was predicted using Adaptive Neuro Fuzzy Inference System (ANFIS) and Response Surface Methodology (RSM) based ondata generated from molasses sample collected from the recovery end of refining processes. The results show that both models are able to predict the final molasses exhaustibility with sufficient accuracy. The optimum sucrose recovery of 49.18% was achieved at the point when Brix 0" @default.
- W2335709862 created "2016-06-24" @default.
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- W2335709862 date "2014-01-10" @default.
- W2335709862 modified "2023-09-30" @default.
- W2335709862 title "Optimization of Process Variables for C-massecuite Exhaustion in a Nigerian Sugar Refinery" @default.
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- W2335709862 doi "https://doi.org/10.9734/bjast/2014/9620" @default.
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