الفهرس 
Artificial Neural Networks Based Modeling And Optimization Of Thermochemical Conversion Of Biomass
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Abstract
The main goal of this study is to utilize the machine learning techniques specifically deep learning in the field of biomass energy recovery through the development of artificial neural network models that can predict the higher heating value of biomass feedstock, lower heating value of gasification product, bio-oil and bio-char weight percentages for fast and slow pyrolysis respectively. The main input parameters used are obtained using both proximate and ultimate analysis as well as operating conditions for gasification and pyrolysis.