Abstract: Enzymatic hydrolysis of cellulose in a heterogeneous system is highly complex, rendering it difficult to build a theoretical model for confident prediction. Artificial neural network model is not conditioned by the need to assume a mechanistic dependency and can simulate and predict enzymatic hydrolysis of cellulose as a result of its advanced non-linear data analysis.

Key words: enzymatic kinetics, enzymatic hydrolysis of cellulose, artificial neural network, response surface model, heterogeneous catalysis