Application of gene expression programming, artificial neural network and multilinear regression in predicting hydrochar physicochemical properties
Sign Up to like & getrecommendations! Published in 2020 at "Bioresources and Bioprocessing"
DOI: 10.1186/s40643-020-00350-6
Abstract: Globally, the provision of energy is becoming an absolute necessity. Biomass resources are abundant and have been described as a potential alternative source of energy. However, it is important to assess the fuel characteristics of… read more here.
Keywords: neural network; network; gene expression; expression programming ... See more keywords
Prediction of Retention Indices and Response Factors of Oxygenates for GC-FID by Multilinear Regression
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DOI: 10.3390/data7090133
Abstract: The replacement of fossil carbon sources with green bio-oils promotes the importance of several hundred oxygenated hydrocarbons, which substantially increases the analytical effort in catalysis research. A multilinear regression is performed to correlate retention indices… read more here.
Keywords: retention indices; multilinear regression; response factors;