分析了几种常用趋势线的模型特征，探讨了趋势外推预测模型的识别与选择方法。
Some kinds of trend curve model character are analysed mainly. On the basis of them, the methods of identifying and choosing the trend extend forecast model are discussed.
阴离子磁赤铁矿纳米颗粒能够标记多种细胞，并用于细胞、器官和动物模型的识别。
Anionic maghemite nanoparticles allow labeling of a wide cell variety and their recognition in cellular, organo typical, and animal models.
本文的研究结果对开采沉陷观测站设计、开采沉陷参数及计算模型的识别具有指导意义。
The results have a great significance to the design of observation stations and the identification of subsidence parameters and calculation models.
应用推荐