๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Development of artificial neural network models to study the effect of process parameters on burr size in drilling

โœ Scribed by S. R. Karnik; V. N. Gaitonde


Publisher
Springer
Year
2007
Tongue
English
Weight
529 KB
Volume
39
Category
Article
ISSN
0268-3768

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Analysis of the effects of process param
โœ L. Ken Lauderbaugh ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 626 KB

Experimental modeling of burr formation processes has received limited industrial application. This limited use is due to the large number of parameters in the experimental design resulting in a large number of experiments and high costs. This paper presents a methodology to combine experimental, si

Using artificial neural networks to deve
โœ Catherine E. Skopec; Janine M. Robinson; Ignacy Cukrowski; Helder M. Marques ๐Ÿ“‚ Article ๐Ÿ“… 2005 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 380 KB

Artificial neural networks (ANNs) are used as an aid in developing force field parameters for modelling, using molecular mechanics methods and the MM2 force field, the porphyrins of the early transition metals, Sc(III), Ti(II), Ti(III), Ti(IV), V(II), V(III), V(IV), Cr(III), Cr(IV) and Cr(V), in whi

The effect of prior storage on the poten
โœ Edwards, Everard J; Cobb, Andrew H ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 133 KB ๐Ÿ‘ 2 views

Potato tubers of four varieties (Brodick, King Edward, Pentland Dell and Record) were stored under commercial conditions and exposed to light for up to 10 days after 0, 10, 20 and 30 weeks. These were analysed for photosynthetic pigment and glycoalkaloid content. There was no signiยฎcant alteration i