𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Prediction of surface crown pillar stability using artificial neural networks

✍ Scribed by A. S. Tawadrous; P. D. Katsabanis


Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
394 KB
Volume
31
Category
Article
ISSN
0363-9061

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Prediction of Phase Behavior in Microemu
✍ C.J. Richardson; A. Mbanefo; R. Aboofazeli; M.J. Lawrence; D.J. Barlow πŸ“‚ Article πŸ“… 1997 πŸ› Elsevier Science 🌐 English βš– 450 KB

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

Prediction of skin penetration using art
✍ Tuncer DeğiΜ‡m; Jonathan Hadgraft; Sibel Δ°lbasmiş; YalΓ§in Γ–zkan πŸ“‚ Article πŸ“… 2003 πŸ› John Wiley and Sons 🌐 English βš– 239 KB

Artificial neural network (ANN) analysis was used to predict the skin permeability of selected xenobiotics. Permeability coefficients (log k(p)) were obtained from various literature sources. A previously reported equation, which was shown to be useful in the prediction of skin permeability, uses th

Prediction of chiral separations using a
✍ Vlastimil Dohnal; Marta FarkovΓ‘; Josef Havel πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 208 KB πŸ‘ 2 views

In this work the advantages of using artificial neural networks (ANNs) combined with experimental design (ED) to optimize the separation of amino acids enantiomers, with ␣-cyclodextrin as chiral selector, were demonstrated. The results obtained with the ED-ANN approach were compared with those of ei