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退火

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Simulation of multistage distillation column is often required for its design and operation.

首先对种群中的个体定义了不可行度,并设计了退火不可行度选择操作。

In order to prepare the purified poly silicon thin film, we deposited a bed of nickel on the samples face by Magnetron Sputtering method, then put the samples into anneal for some time and cleaned them with diluted muriatic acid.

为了能制备出纯度高的多晶硅薄膜,我们采用磁控溅射法在薄膜上面沉积一层金属镍膜,然后进行退火处理并用稀盐酸清洗。

The formation of NiSi is demonstrated by X-ray diffraction and Raman scattering spectroscopy.

还研究了硅衬底掺杂和退火过程对NiSi/Si界面的影响。

In particular, the experiments show that the quality of NiSi film is very sensitive to the process conditions of the first RTA.

研究结果表明一硅化镍薄膜的特性对第一次低温退火条件特别敏感。

So a new type of NN named pulse transiently chaotic neural network is researched in this paper.

为解决这一问题,人们采用了各种模拟退火技术与神经网络相结合的方法…。

The algorithm has overcome some problems of traditional algorithm such as more constraint conditions, depending prior knowledge, calculation complexity and noise susceptibility, and can be applied into the different restored image, and effectively overcomes the difficulties to determine noise-signal power ratio of Wiener filtering.

该算法利用微粒群算法的快速搜索能力和模拟退火算法良好的全局收敛性能寻找最佳复原图像,克服了传统的图像复原方法存在较多约束条件、依赖先验知识、计算求解复杂和对噪声十分敏感等不足,能应用于不同类型退化图像的复原,并能有效地解决经典维纳滤波算法噪信功率比难以确定的问题。

Simulated Annealing is a kind of effective compute intelligent algorithm and used to solve nonlinear optimization problems frequently.

模拟退火是一种性能优越的计算智能算法,广泛应用于求解非线性最优化问题。

Theoretic models and methods using nonnumeric parallel optimization algorithm, genetic algorithm and simulated annealing algorithm, to adjust and control the production-injection system were made with taking the net present value as the objective function and coupling economic model, reservoir model, wellbore model including producer and injector, and choke model.

以净现值为系统目标,耦合经济模型、油藏模型、注采井筒模型和油嘴模型,首次建立利用非数值并行算法——遗传算法与模拟退火算法调控注采系统的理论模型与方法,对不同开发阶段与不同约束条件下的注采系统进行最佳调控,使之保持最优生产状态。

MicroRNAs primers were arrayed on plates according to the Tm of each primer. PCR were carried out at different annealing temperatures using a gradient real-time PCR instrument. The relative expression level of each microRNAs was calculated using the most stable reference gene as normalizer which was selected by geNorm and Normfinder software.

通过geNorm软件和Normfinder软件分析选择最佳的内参照基因,将每种microRNAs按其引物Tm值排成阵列,用梯度实时PCR仪在不同的退火温度扩增,并计算每种相对于microRNAs内参照基因的表达量。

Nanoporous gold with different pore sizes was prepared by controlling the etching time of Au/Ag alloy with concentrated nitric acid and annealing. Scanning electron microscopy and a nitrogen adsorption technique were used to characterize the NPG.

以Au/Ag合金为原料,通过控制浓硝酸的腐蚀时间再辅以退火处理得到了不同孔径的纳米多孔金,利用扫描电镜和N2气体吸附仪对孔性质进行了表征。

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