Abstract

Coal conversion by solvent extraction under supercritical conditions was estimated by the method of neural nets, using the experimental temperature ( T e) and pressure ( P e), critical temperature ( T c) and critical pressure ( P c), volatile matter (VM) and atomic ratio of hydrogen to carbon ( H C ) of several coals as inputs. The method, representing the data on 15 solvents including water, with an average absolute deviation of 3.5%, could be used for obtaining reasonable estimates of coal conversion.

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