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Biomethane Yield from Arachis Hypogea Shells by Prince Oyetola is a document available to read on EtoBox.
What is Biomethane Yield from Arachis Hypogea Shells about?
This study models and optimizes biomethane yield from thermally pretreated Arachis hypogea shells using Response Surface Methodology (RSM) and Artificial Neural Network (ANN). The ANN model outperformed RSM in accuracy, achieving higher R2 values and lower error metrics, indicating its effectiveness in predicting biomethane yield under varying pretreatment conditions. The findings suggest that ANN is a more reliable tool for optimizing biomethane production from lignocellulosic materials.
- Author
- Prince Oyetola
- Language
- EN