Search results

References [1] Robert Fisher.
Acta Neurologica Scandinavica,, 2002, 106 (1) ：1-7
Jiangsu Medical Journal, 2011, 37 (4) ： 478-479
European Neurology. 1994, 34 (1) ：29-32
Physical Review E. 2001, 64 (6) ：061907 1-8.

Algorithm 1 Sparsity based KMSE (SPKMSE) Input: Label vector for training examples, kernel matrix, and parameter. 1.
Table 1.
Description of the experimental datasets Dataset #Features #Classes #Training examples #Testing example Breast 10 2 479 204 Diabetes 8 2 538 230 Liver 6 2 242 103 Heart 13 2 189 81 German 24 2 700 300 Table 2.
References [1] K.R.
Asia-Pacific Conference on. vol. 1, pp. 237–240.

Fig. 1 Experiment site Orthogonal Cutting Parameters.
It is shown in table 1.
References [1] P .
Technol, 2002, 20, pp.475-479
Li: Journal of Heilongjiang Institute of Technology, 2009, 23(1), pp.1-4

And the simulation proved the efficiency of this method. 1 Introduction The support vector machines is a new machine study method which is based on the theory of statistics, it obeys the cardinal rule to minimize the structure risks and has stronger capability of generalization, it solved many practical problems such as small sample, nonlinear, high dimensions, local minimum point and so on[1].
Expunge the variables and ,along with the Mercer condition,the formula （5） can be written as . (6) Where .Suppose,to solve formula (2), we can get . (7) . (8) From the formula (1) we know ,so the classification funtion (1) can be get from . (9) 3.
Table 1.
References [1].
Guo Zhenkai,Song Zhaoqing,Mao Jianqin.An improved online least squares support vector machines regression algorithm[J].Control and Decision,2009,24(1):145-148

The synthesis reaction can be described as xSi+xC+(1-x)Al+(1-x)/2N2=xSiC+(1-x)AlN. (1) Al-N2 is a highly exothermic reaction system (-318kJ/mol)[6].
Conclusions 1.
References [1] J.
Vol. 29, (1996), pp. 1
Forum Vol. 475-479 (2005), pp. 3571.

All other reagents and solvents used were reagent grade. 2.2 The separation of velvet antler polypeptides At first, 1 kg velvet antler was taken and chopped it into small pieces (about 1 cm3).
Collagen and Chitosan solution were mix up by 9:1.
Fig 1 The SDS-PAGE of collagen Lane 1, 2 Collagen.
References [1].
Biomedical Materials, 2010, 5(1): 015008

This technology is divided into: user-based collaborative filtering and resource-based collaborative filtering [1].
Steps: 1).
Because of selecting individual from big to small according to fitness, we get fitness function in the algorithm: f= 1 /E.
Table 1.
Fig. 1.

This solution was added into the TEOS+ethanol solution and the mixture was stirred for about 1 h.
The sol can be obtained by leaving the precursors sealed at room temperature over 1 week.
(a) (b) (c) (d) Fig.1 SEM images of Zn2SiO4:Mn2+ samples sintered at (a)(b)750o C (c)900o C and (d)1050 o C.
References [1] R.C.
Vol. 10 (1939), pp. 479

Coated titanium rods of 12 mm diameter were subjected to hydrostatic extrusion passes using the parameters given in Table 1.
Diameter of the specimens φ[mm] Cross-section reduction True strain  φ12 → φ7,5 2,56 0,94 Table 1.
On the basis of the results following conclusions can be drawn: 1.
References: [1] K.J.
Ossowski, Journal Materials Science Forum, 475-479 (2005) p. 3883 [7] T.Wierzchoń; Materials Science Forum, 426-432(2003) p.2563

Acoustic Emission as Analyzing Tool for Wear Mechanisms of Composite Materials Jan Quintelier1, a, Joris Degrieck1,b, Pieter Samyn 1,c Wim De Waele 1,d, Georgios Kalogiannakis2,e and Danny Van Hemelrijck2,f 1 Laboratory Soete, Ghent university, St.
The test set up for the tensile testing is given in Fig. 1, A, for the wear testing in Fig. 1, B.
Wright, A process monitoring system for process-based product validation, Journal of Manufacturing Processes 7 (1) (2005) 69- 74
Hisakado, T.Warashina, Relationship between friction and wear properties and acoustic emission characteristics: iron pin on hardened bearing steel disk, Wear 216 (1) (1998) 1-7
Forum, Vol. 475-479 (2005), pp 1083-1086 [9] T.