МОДЕЛЮВАННЯ ТЕХНОЛОГІЧНОГО ПРОЦЕСУ БІОКОНВЕРСІЇ З ВИКОРИСТАННЯМ НЕЙРО-НЕЧІТКОЇ МЕРЕЖІ

Abstract

The article describes the structure of the hierarchical neuro-fuzzy network that meets the tree inference impact on the process of bioconversion. Provides an assessment of biogas output at system level using fuzzy knowledge base. An item of neuro-fuzzy network node corresponds to the mechanical mixing, which embodies the knowledge base of the relationship between evaluations of biogas output. According to simulation results obtained evaluating bioreactor using neuro-fuzzy network with dependencies that will further optimize and customize the neuro-fuzzy model in accordance with experimental data.