AWWA MTC61128

This slide presentation outlines information on learning from past experiences even for advanced processes such as microfiltration (MF)/ultrafiltration (UF) using artificial neural networks and use that knowledge to predict future performance. Topics covered include: basics of artificial neural networks (ANN); analogy to brain; typical ANN and one with more hidden layers; ANN application requirements; application to MF/UF; feed water turbidity and temperature; input and output parameters; training data; data used for training; ANN program; prediction vs. actual data; effect of temperature; relative importance: and, W/ & W/O temperature correction. Includes figures.