Description
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
- Note:
- This product is unavailable in Ukraine, Russia, Belarus
