𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Neural network modelling of a depollution process

✍ Scribed by J. P. Steyer; C. Pelayo-Ortiz; V. González-Alvarez; B. Bonnet; A. Bories

Publisher
Springer
Year
2000
Tongue
English
Weight
230 KB
Volume
23
Category
Article
ISSN
1615-7605

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Modelling of abrasive flow machining pro
Modelling of abrasive flow machining process: a neural network approach
✍ R.K. Jain; V.K. Jain; P.K. Kalra 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 256 KB

A simple neural network model for abrasive flow machining process has been established. The effects of machining parameters on material removal rate and surface finish have been experimentally analysed. Based on this analysis, model inputs and outputs were chosen and off-line model training using ba

Run-to-run process control of a plasma e
Run-to-run process control of a plasma etch process with neural network modelling
✍ Jill P. Card; Mark Naimo; William Ziminsky 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 250 KB 👁 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

Modelling of hot strip rolling process u
Modelling of hot strip rolling process using a hybrid neural network approach
✍ H.J. Kim; M. Mahfouf; Y.Y. Yang 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 931 KB

A neural network-based approach is developed to predict a mechanical property for the hot-rolled alloy strip. Using a data set containing critical information on the mechanical property which was obtained from a POSCO hot strip mill, a neural network-based model is elicited. A compact set of process