The hydrolysis of cellulose with a highly active solid acid catalyst, a carbon material bearing SO3H, COOH,
and OH groups, was investigated at 323-393 K using an artificial neural network (ANN) and a response
surface methodology (RSM). The ANN models developed for experimental design accurately reflect the novel
solid-solid interface catalysis. The ANN models and RSM revealed that the amount of water dominates the
hydrolysis reaction as well as cellulose saccharification by concentrated sulfuric acid, a conventional
saccharification method. The correlations of the reaction and each parameter are discussed on the basis of the
reaction mechanism, ANN, and RSM.