Active control of SDF systems using artificial neural networks
β Scribed by Yu Tang
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 880 KB
- Volume
- 60
- Category
- Article
- ISSN
- 0045-7949
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
In dealing with human nervous system, the sensation of pain is as sophisticated as other physiological phenomena. To obtain an acceptable model of the pain, physiology of the pain has been analysed in the present paper. Pain mechanisms are explained in block diagram representation form. Because of t
Preliminary investigations have been conducted to assess the potential for using (back-propagation, feed-forward) artificial neural networks to predict the phase behavior of quaternary microemulsion-forming systems, with a view to employing this type of methodology in the evaluation of novel cosurfa
## Abstract Artificial neural network (ANN) is applied to investigate the hydrodesulfurization (HDS) process with lightβcycle oil as feed and NiMo/Al~2~O~3~ as catalyst. ANN models frequently work as a βblack boxβ which makes the model invisible to users and always need significant data for trainin