๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Predicting Machining Errors in Turning Using Hybrid Learning

โœ Scribed by X. Li; P. K. Venuvinod; A. Djorjevich; Z. Liu


Publisher
Springer
Year
2001
Tongue
English
Weight
190 KB
Volume
18
Category
Article
ISSN
0268-3768

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


The use of hybrid manifold learning and
โœ Fengyi Lin; Ching-Chiang Yeh; Meng-Yuan Lee ๐Ÿ“‚ Article ๐Ÿ“… 2011 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 348 KB

The prediction of business failure is an important and challenging issue that has served as the impetus for many academic studies over the past three decades. This paper proposes a hybrid manifold learning approach model which combines both isometric feature mapping (ISOMAP) algorithm and support ve

Using support vector machine to predict
โœ Xiuzhen Hu; Qianzhong Li ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 159 KB

## Abstract By using the composite vector with increment of diversity, position conservation scoring function, and predictive secondary structures to express the information of sequence, a support vector machine (SVM) algorithm for predicting ฮฒโ€ and ฮณโ€turns in the proteins is proposed. The 426 and