Optimization of process parameters for bio-enzymatic and enzymatic saccharification of waste broken rice for ethanol production using response surface methodology and artificial neural network-genetic algorithm.

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作者： Payel,Mondal ^[1] ; Anup Kumar,Sadhukhan ^[1] ; Amit,Ganguly ^[2] ; Parthapratim,Gupta ^[1]

作者单位： Chemical Engineering Department, National Institute of Technology, Durgapur, 713209 India. ^[1] CSIR-Central Mechanical Engineering Research Institute, Durgapur, 713209 India. ^[2]

关键词 Artificial neural network Bio-enzyme (Bakhar)Bio-ethanol Broken rice Genetic algorithm

DOI 10.1007/s13205-020-02553-2

PMID 33442526

发布时间 2022-01-02

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3 Biotech

2021年11卷1期

28页

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Optimization of process parameters for bio-enzymatic and enzymatic saccharification of waste broken rice for ethanol production using response surface methodology and artificial neural network-genetic algorithm.

3 Biotech

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Optimization of process parameters for bio-enzymatic and enzymatic saccharification of waste broken rice for ethanol production using response surface methodology and artificial neural network-genetic algorithm.

3 Biotech

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3 Biotech

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