Sentence examples for stochastic support from inspiring English sources

In this paper, we first use the state space model to analyze the vibration of a dam under ambient support excitation and conclude that the nature excitation technique (NExT) can be used to the measured absolute acceleration response of the dam under band-limited stochastic support excitation to obtain its impulse response.

The micro-vibration response of a smart sandwich beam with MRE core which supports mass-concentrated equipment under stochastic support-motion excitations is investigated to evaluate the vibration suppression capability.

Computational models, routinely based on stochastic optimization, support these decisions.

The effects of stochastic cable support displacements, with abrupt and gradual transients, are studied.

The results show that, together with important similarities in cable response, there are also important differences in cable response between sinusoidal and stochastic cable support excitation.

This research proposes a stochastic-based support tool that addresses this problem.

This hierarchical model for cancer, unlike the classical stochastic model, supports the existence of CSCs, or tumour-initiating cells, that are responsible for tumour formation, maintenance, growth and metastasis [ 3, 4].

Next, we employ the Euler method to simulate the dynamics of the deterministic and stochastic systems to support our theoretical results.

Subsequently BlockClust uses fast and scalable linear techniques such as Stochastic Gradient Descent Support Vector Machines (Bottou, 2010) to induce a discriminative model.

This initiative resulted in the development of a suite of geologically driven, stochastic modelling algorithms supported by an extensive fieldwork program aimed at collecting stratigraphic and quantitative data from ancient outcrop analogues to support enhanced reservoir characterisation and geological modelling.

Symbolic probabilistic analysis is implemented according to the generalized tenth order stochastic perturbation technique supported by the Response Function Method.