AWWA MTC61128

This slide presentation outlines information on learning from past experiences even foradvanced processes such as microfiltration (MF)/ultrafiltration (UF)using artificial neural networks and usethat knowledge to predict futureperformance. 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.

Product Details

Edition:

Vol. - No.

Published:

03/01/2005

Number of Pages:

27

File Size:

1 file , 2.4 MB