实际生产响应时间将根据机器、内存量、网络负荷和速度、Web服务器负荷和其他应用程序消耗的处理时间而有所不同。
Actual production response times will vary by machine, amount of memory, network load and speed, Web server load, and the processing time consumed by other applications.
在神经网络负荷预测实际应用中，突出的问题是训练样本大、训练时间长、收敛速度慢。
In application of neural networks based short-term load forecasting model, the main problems are over many training samples, thus resulting long training time and slow convergence speed.
目的探讨应用定量组织速度成像(QTVI)技术结合小剂量多巴酚丁胺负荷超声心动图试验(LDDSE)诊断冠心病的价值。
Objective To clarify feasibility for diagnosing coronary artery disease by quantitative tissue velocity imaging (QTVI) technique during low-dose dobutamine stress echocardiography (LDDSE).
CDN的应用显著地降低了广域网的负荷，提高了内容的响应速度和稳定性，使网络内容的传递和分发更快捷可靠。
The adoption of CDN can remarkably reduce the traffic load of WAN, improve the content responsive-ness and stability, and enable faster and more reliable transfer and distribution of the Web contents.
目的探讨应用定量组织速度成像(QTVI)技术结合小剂量多巴酚丁胺负荷超声心动图试验(LDDSE)评价心肌存活性的价值。
Objective To assess myocardial viability in patients with myocardial infarction by quantitative tissue velocity imaging (QTVI) during low-dose dobutamine stress echocardiography (LDDSE).
方法联合应用胎心无负荷试验（NST）及多普勒脐动脉血流速度测定对2 0 0例妊娠晚期孕妇进行观察。
Methods fetal non-stress test combined with fetal umbilical artery doppler velocimetry were used in 200 late pregnant women.
方法联合应用胎心无负荷试验（NST）及多普勒脐动脉血流速度测定对2 0 0例妊娠晚期孕妇进行观察。
Methods fetal non-stress test combined with fetal umbilical artery doppler velocimetry were used in 200 late pregnant women.
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