Biochar production from valorization of agricultural Wastes: Data-Driven modelling using Machine learning algorithms

Ramesh Kanthasamy,Eydhah Almatrafi,Imtiaz Ali,Hani Hussain Sait,Mohammed Zwawi,Faisal Abnisa,Leo Choe Peng,Bamidele Victor Ayodele

Fuel（2023）

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摘要

•Data-driven approach to model biochar production from agricultural wastes.•SVM with quadratic kernel function outperforms fine Gaussian kernel function.•Exponential kernel function has most significant influence on GPR performance.•Levenberg-Marquardt and Scaled Conjugate Gradient trained ANN show superior performance.•Residence time and pyrolysis temperature significantly influence predicted biochar yield.

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关键词

Biochar agriculture wastes, Pyrolysis, Support Vector Machine Gaussian process, regression, Artificial Neural Networks

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