871 resultados para Classifier Generalization Ability


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A thick amorphous alloy (a-alloy) coating was synthesized by laser cladding. The a-alloy had a multicomponent chemistry, i.e., Ni66Cr5MO4Zr6P15B4 (in atom%). The maximum thickness of the coating is 0.8 mm. The a-alloy coating had large glass-forming ability (GFA) with wide supercooled liquid region (SLR) ranging from 52 to 61 K through the coating. The reason for high GFA in the a-alloy coating was discussed. (C) 2002 Published by Elsevier Science B.V.

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Poster presentado a 11th International Symposium on Microbial Ecology(ISME -11)celebrado en Viena del 20 al 25 de agosto de 2006

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The JTZ model [C. Jung, T. T¶el and E. Ziemniak, Chaos 3, (1993) 555], as a theoretical model of a plane wake behind a circular cylinder in a narrow channel at a moderate Reynolds number, has previously been employed to analyze phenomena of chaotic scattering. It is ex- tended here to describe an open plane wake without the con¯ned nar- row channel by incorporating a double row of shedding vortices into the intermediate and far wake. The extended JTZ model is found in qualitative agreement with both direct numerical simulations and ex- perimental results in describing streamlines and vorticity contours. To further validate its applications to particle transport processes, the in- teraction between small spherical particles and vortices in an extended JTZ model °ow is studied. It is shown that the particle size has signif- icant in°uences on the features of particle trajectories, which have two characteristic patterns: one is rotating around the vortex centers and the other accumulating in the exterior of vortices. Numerical results based on the extended JTZ model are found in qualitative agreement with experimental ones in the normal range of particle sizes.

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The concept of a "projection function" in a finite-dimensional real or complex normed linear space H (the function PM which carries every element into the closest element of a given subspace M) is set forth and examined.

If dim M = dim H - 1, then PM is linear. If PN is linear for all k-dimensional subspaces N, where 1 ≤ k < dim M, then PM is linear.

The projective bound Q, defined to be the supremum of the operator norm of PM for all subspaces, is in the range 1 ≤ Q < 2, and these limits are the best possible. For norms with Q = 1, PM is always linear, and a characterization of those norms is given.

If H also has an inner product (defined independently of the norm), so that a dual norm can be defined, then when PM is linear its adjoint PMH is the projection on (kernel PM) by the dual norm. The projective bounds of a norm and its dual are equal.

The notion of a pseudo-inverse F+ of a linear transformation F is extended to non-Euclidean norms. The distance from F to the set of linear transformations G of lower rank (in the sense of the operator norm ∥F - G∥) is c/∥F+∥, where c = 1 if the range of F fills its space, and 1 ≤ c < Q otherwise. The norms on both domain and range spaces have Q = 1 if and only if (F+)+ = F for every F. This condition is also sufficient to prove that we have (F+)H = (FH)+, where the latter pseudo-inverse is taken using dual norms.

In all results, the real and complex cases are handled in a completely parallel fashion.