Applications of Neural Nets and Evolutionary Programming to Process Monitoring

Paper #:
  • 961634

Published:
  • 1996-05-01
Citation:
VerDuin, W., "Applications of Neural Nets and Evolutionary Programming to Process Monitoring," SAE Technical Paper 961634, 1996, https://doi.org/10.4271/961634.
Author(s):
Pages:
5
Abstract:
Process modeling benefits are well understood: better quality, and minimal scrap, environmental impact, and unplanned maintenance. The cost of implementing and maintaining process models, however, has limited application of model-based process monitoring and control.New technologies have changed this, with adaptive process modeling reducing the cost of developing and maintaining process models, and thus broadening applications. Applications of neural networks and evolutionary programming have demonstrated quantifiable benefits in process performance, maintenance costs, emissions, and scrap rates. Discrete part, and batch and continuous processing applications are presented to illustrate application qualification criteria and typical costs and benefits.
Access
Now
SAE MOBILUS Subscriber? You may already have access.
Buy
Select
Price
List
Download
$27.00
Mail
$27.00
Members save up to 40% off list price.
Share
HTML for Linking to Page
Page URL

Related Items

Training / Education
2018-06-07
Article
2017-01-11
Technical Paper / Journal Article
2010-10-19
Technical Paper / Journal Article
2010-10-19
Training / Education
2018-04-10
Technical Paper / Journal Article
2010-10-19
Training / Education
2018-03-05
Training / Education
2013-04-09