๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Design and simulation of a nanoelectronic DG MOSFET current source using artificial neural networks

โœ Scribed by F. Djeffal; Z. Dibi; M.L. Hafiane; D. Arar


Publisher
Elsevier Science
Year
2007
Tongue
English
Weight
965 KB
Volume
27
Category
Article
ISSN
0928-4931

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Prediction of chiral separations using a
โœ Vlastimil Dohnal; Marta Farkovรก; Josef Havel ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 208 KB ๐Ÿ‘ 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 โฃ-cyclodextrin as chiral selector, were demonstrated. The results obtained with the ED-ANN approach were compared with those of ei

Simulation and analysis of runoff from a
โœ Tobias Sauter; Christoph Schneider; Rolf Kilian; Michael Moritz ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 909 KB

## Abstract In this study, a model based on an artificial neural network (ANN) was developed to forecast the runoff of a mesoโ€scale, partly glaciated (40%), Alpine catchment area in the southernmost Andes in Patagonia, Chile. The study area is located in a maritime climate with a mean annual air te