Titlebook: Structural Reliability; Statistical Learning Jorge E. Hurtado Book 2004 Springer-Verlag Berlin Heidelberg 2004 Chaos.Regression.Stab.Transf

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,Classification Methods I — Neural Networks,ognition methods that could be investigated with regard to their applicability in structural reliability (See [69, 42] and [148] for a detailed description of these methods). In order to facilitate this task, it is valuable to group them in some classes, according to their treatment of the training

Transfusion

Classification Approaches to Reliability Indexation,ble decision, some authors propose to measure the reliability in terms of an index, which affords a meaningful value for design, as it measures the extent of the safe domain in some sense. It is specially useful when the statistical information on the basic variables is reduced, normally consisting

ABOUT

transplantation

ght the specific role played by the spin degree of freedom. We introduce the magnetic tunnel junction as the simplest reference system to interpret the transport characteristics of a spin valve. Spin interference and proximity effects are then discussed for a noninteracting resonant level model. On

placebo-effect

Jorge E. Hurtadoght the specific role played by the spin degree of freedom. We introduce the magnetic tunnel junction as the simplest reference system to interpret the transport characteristics of a spin valve. Spin interference and proximity effects are then discussed for a noninteracting resonant level model. On

IRS

Jorge E. Hurtadoluminated by two coherent electromagnetic waves with slightly different frequencies, the resulting Raman signal attains coherence. This dual-frequency illumination introduces a novel characteristic frequency–the beat frequency. When this beat frequency aligns with the vibron frequency, a resonant en

paleolithic

Counteract

Ptosis