处理前菌群构成的快速恢复是促进菌落恢复的指示因素，后者的本质需要未来进一步的研究。
The rapid return to the pretreatment community composition is indicative of factors promoting community resilience, the nature of which deserves future investigation.
对目前蔬菜中农药残留分析检测方法及其前处理过程以及快速检测技术作了综述。
The present analytical methods and determining techniques, pre-treatment processes of samples, and the rapid and easily determination of pesticides remaining in vegetables were reviewed.
角分类前向神经网络CC4可以快速对文本数据进行分类处理。
A feed forward neural network (FFNN) for the corner classification 4 (CC4) can instantaneously classify text data.
介绍了一种全新的“油相”样品前处理仪器——自动快速燃烧炉（AQF）与离子色谱联用技术，测定1，4-丁炔二醇中全氯的方法。
The method to analyse whole chloride in 1,4-Dihydroxy-2-butyne by combining a new instrument named Automatic Quick Furnace(AQF)is introduced.
与传统的前处理方法相比，本方法具有简便、快速、高效、节省溶剂、选择性好、应用范围广的特点。
The results indicated that the developed method is simple, rapid, efficient, solvent-saving, highly selective and widely applicable.
该方法的最大优点在于前处理简单，能运用于复杂边坡、洞室的快速开挖仿真和体型优化分析中。
The biggest advantage of the method is that the preprocessing is very simple; and it can be used in the excavation simulation and shape optimization for complicated slopes and caverns.
开发一种符合规定的简单、快速、有效的样品前处理技术以及具有高灵敏度和高选择性的残留检测技术就显得十分重要。
It is important to exploit simply, fast, efficient pre-treatment technologies for samples and high sensitive, high selective detections technologies accord with regulation.
对STL模型的切片处理是R P前处理部分的重要内容，切片软件的速度对快速成形的整体效率有重要影响。
It is very important that the STL model is sliced in the RP pre -process. The running speed and efficiency of slice software play an important role in Rapid Prototype.
此研究结果表明，在混沌加速BP算法的支持下，三层前向神经网络可用来快速处理混沌光学时间序列以进行相应的动力学重构。
The computer simulation result shows that, the three layers foreward neural network, if trained with the chaos speedup BP algorithm, is indeed a fine identifier with less training iteration…
此研究结果表明，在混沌加速BP算法的支持下，三层前向神经网络可用来快速处理混沌光学时间序列以进行相应的动力学重构。
The computer simulation result shows that, the three layers foreward neural network, if trained with the chaos speedup BP algorithm, is indeed a fine identifier with less training iteration…
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