换一批
换一批Modeling and optimization of anaerobic codigestion of potato waste and aquatic weed by response surface methodology and artificial neural network coupled genetic algorithm.
作者：
主题词
算法(Algorithms);厌氧生活(Anaerobiosis);方差分析(Analysis of Variance);水生生物(Aquatic Organisms);生物燃料(Biofuels);生物技术(Biotechnology);脂肪酸类, 挥发性(Fatty Acids, Volatile);氢离子浓度(Hydrogen-Ion Concentration);模型, 理论(Models, Theoretical);杂草(Plant Weeds);回归分析(Regression Analysis);结果可重复性(Reproducibility of Results);马铃薯(Solanum tuberosum);废弃物(Waste Products)
DOI
10.1016/j.biortech.2016.04.068
PMID
27155267
发布时间
2019-12-10
- 浏览4
Bioresource technology
386-395页
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