๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Neural Network Based Control of the Acrylonitrile Polymerization Process

โœ Scribed by I. Atasoy; M. Yuceer; E. Oguz Ulker; R. Berber

Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
275 KB
Volume
30
Category
Article
ISSN
0930-7516

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Application of neural networks to meltbl
Application of neural networks to meltblown process control
โœ Qin Sun; Dong Zhang; Bingzhen Chen; Larry C. Wadsworth ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 480 KB ๐Ÿ‘ 2 views

Process modeling is essential for the control of optimization and an on-line prediction is very useful for process monitoring and quality control. Up to now, no satisfactory methods have been found to model an industrial meltblown process since it is of highly dimensional and nonlinear complexity. I

Run-to-run process control of a plasma e
Run-to-run process control of a plasma etch process with neural network modelling
โœ Jill P. Card; Mark Naimo; William Ziminsky ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 250 KB ๐Ÿ‘ 2 views

Run-to-run control of a plasma etch process for 8 inch diameter silicon wafers at Digital Semiconductor is determined by maintenance of targeted values of post-etch metrology variables. The post-etch quality variables are extremely sensitive to variation in the etch chamber conditions due to fluctua

Hybrid neural network models for environ
Hybrid neural network models for environmental process control (The 1998 Hunter Lecture)
โœ Richard D. De Veaux; Rod Bain; Lyle H. Ungar ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 132 KB

A model that includes both ยฎrst principles dierential equations and an artiยฎcial neural network is used to forecast and control an environmental process. The inclusion of the ยฎrst principles knowledge in this hybrid model is shown to improve substantially the stability of the model predictions in sp