Linjun Yan

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A damage detection approach is developed using nonlinear autoregressive with exogenous inputs (NARX) neural networks and a statistical inference technique. Within a large spatially extended dynamic system, an instrumented local substructure may be represented by a neural network, to predict the dynamic response of a given sensor from that of its neighbors.(More)
In this paper we describe the use of machine learning algorithms (Naive Bayesian, neural network, and support vector machine) on data collected from strain gauge sensors to automatically classify vehicles into classes, ranging from small vehicles to combination trucks, along the lines of Federal Highway Administration vehicle classification guide. Knowing(More)
Through the research on the evaluation method of bill of quantities valuation mode, we found that the traditional manual review has been completely unable to meet the requirements of listing the bid assessment. Besides, the paper studied on invoicing system, evaluation methods and invoicing software, analyzed the feasibility and necessity of the electronic(More)
  • Linjun Yan
  • 2014 Seventh International Joint Conference on…
  • 2014
As one of the six Gulf countries, Oman invested heavily in infrastructure construction every year. Many Chinese enterprises want to be able to enter the Omani construction market. Although there are some Chinese companies have undertaken a number of construction projects, the vast majority of them did not get expected benefits, or even had a loss. Analyzing(More)
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