AWWA ACE54290 PDF

AWWA ACE54290 PDF

Name:
AWWA ACE54290 PDF

Published Date:
06/01/2001

Status:
Active

Description:

Case Study: Forecasting Short-Term Water Demand Using Artificial Neural Networks

Publisher:
American Water Works Association

Document status:
Active

Format:
Electronic (PDF)

Delivery time:
10 minutes

Delivery time (for Russian version):
200 business days

SKU:

Choose Document Language:
$7.2
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The purpose of this presentation is to describe the application of an artificial neural network (ANN) to forecast short-term water demand, and determine if improvements in accuracy can be obtained. The paper summarizes the benefits of forecasting short-term water demand. ANN's are described and their operation detailed. As ANNs can be trained to recognize complex relationships and patterns in data they can rapidly and accurately model non-linear relationships such as those involved in short-term water demand forecasting.
Edition : Vol. - No.
File Size : 1 file , 11 MB
Note : This product is unavailable in Ukraine, Russia, Belarus
Number of Pages : 24
Published : 06/01/2001

History


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