𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Improved method for grinding force prediction based on neural network

✍ Scribed by Ridha Amamou; Nabil Ben Fredj; Farhat Fnaiech


Book ID
105852487
Publisher
Springer
Year
2007
Tongue
English
Weight
388 KB
Volume
39
Category
Article
ISSN
0268-3768

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Improved ultrasonic differentiation mode
✍ Zi-jian TIAN; Fu-zhong WANG; Tao LI; Shan-shan BAI πŸ“‚ Article πŸ“… 2009 πŸ› Elsevier 🌐 English βš– 241 KB

In order to solve the difficulty of detailed recognition of subdivisions of structural coal types, a differentiation model that combines BP neural network with an ultrasonic reflection method is proposed. Structural coal types are recognized based on a suitable consideration of ultrasonic speed, an

Quantitative prediction of substituted p
✍ Wang Xue-Ye; Song Huang πŸ“‚ Article πŸ“… 2010 πŸ› John Wiley and Sons 🌐 English βš– 327 KB

## Abstract The criterion of orientating group of electrophilic aromatic nitration was discussed by means of pattern recognition method with quantum‐chemical parameters as features, and the product ratios of the reactions were quantitatively calculated using artificial neural network (ANN) method w