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- Acoustic model selection 声学模型选择
- AIC was a simple and effective method in ANOVA model selection. AIC准则在方差分析模型选择中是一种简单有效的方法。
- Several criteria such as AIC and SIC are usually used in ARMA model selection. AIC与SIC等准则函数方法是ARMA模型选择过程中经常使用的方法。
- A microstructure based acoustic model is introduced, which can be used to optimize the microstructure of cellular materials and thus to obtain their optimal acoustic property. 摘要介绍了一种基于微结构的声学模型，可用来对多孔材料的微组织结构进行优化，从而使多孔材料具备最佳的声学性能。
- A microstructure based acoustic model is introduced,which can be used to optimize the microstructure of cellular materials and thus to obtain their optimal acoustic property. 介绍了一种基于微结构的声学模型,可用来对多孔材料的微组织结构进行优化,从而使多孔材料具备最佳的声学性能。
- The control can realize functions of speed control and work model selection etc. 该控制器能实现速度控制、工作方式选择等多种功能。
- The principles of burner design,model selection and ignition procedures as well as flame monitor are described. 对燃烧器的设计原理、选用型式及其点火程序和火焰监测器做了系统阐述。
- ANOVA model selection was necessary in the 5 rice varieties comparison trial data. 对5个水稻品种比较试验进行方差分析模型的选择是必要的；
- By hidden Markov model, it combined with a prior segmentation model which is independent to noise feature as the compensation for the mismatch of acoustic model to enhance the robust performance. 然后,假设音节长度序列符合一阶马尔科夫过程,经过归一化处理后,求出了切分的先验概率公式,得到了贝叶斯方法的切分模型。
- To Study the acoustic unsteady combustion of SRM,built the acoustic model of chamber.deduced the little amplitude sound wave 3D equation,used the finite volume discrete method to simulate.got the vibration model of three kinds of chamber. 为研究固体火箭发动机声不稳定燃烧特性;建立了燃烧室内声学特性分析的物理数学模型;推导了小振幅声波三维波动方程;采用有限体积离散方法进行仿真;得到圆柱型、四片翼柱彤和五片翼柱型药柱三种燃烧室形状声学振动基本模态.
- Merits and demerits have been obtained via calculation of resistance and power for reference to design and model selection. 通过阻力及功率计算，得出气垫输送机的优缺点，供设计选型参考。
- In this paper, ANN was applied to the muffler design with the efforts to reduce the intrinsic error that was caused by the assumption on which the muffler"s acoustic model was based. 为了克服目前排气消声器一般设计方法固有的建模假定引起的设计误差，本论文尝试将人工神经网络应用于排气消声器设计问题。
- Jiang Ning, Shi Zhongzhi.Bayesian posteriori model selection for text clustering[J].Journal of Computer Research and Development, 2002,39(5):341-346. [1]姜宁;史忠植.;文本聚类中的贝叶斯后验模型选择方法[J]
- The recall rate on SC word correction was improved by about 22% using the SCDM alone and by about 41% using the approach combining the SCDM with a syllable pair acoustic model (SPAM). 对音节合并词汇部分的正确率约提升22%25，论文方法同时使用多音节升学模型约可提升41%25。
- This paper utilizes the Bayes Information Criteria(BIC) based model selection theory to evaluate the probability of each topic numbers taking. 在此基础上实现了文档矩阵的ICA分解,并根据分离的独立分量获得主题的关键词及其权重。
- Meanwhile, the insertion loss of DPF was measured at an anechoic laboratory.The comparison between experimental and calculating results demonstrates the correctness of the acoustic model. 同时在全消声实验室中测试了微粒过滤器的插入损失，将测试结果与计算结果进行对比，证明了声学模型的正确性。
- Thirdly, the paper has discussed the generation mechanism, acoustic model and the simulation model of the road noise on the basis of the tire pattern noise, and carried out the simulation analysis. 再次，在对轮胎花纹噪声研究的基础上，探讨了道路噪声的发声机理、发声模型及其仿真模型，并进行了仿真实验分析。
- Learning the SDK fundamentals that affect object model selection helps you choose the best structure for your Crystal Reports for Visual Studio 2005 project. 通过学习影响对象模型选择的SDK基础知识,将帮助您为Crystal Reports for Visual Studio 2005项目选择最佳结构。
- For example, after building the acoustic models, some phoneme pairs, such as “f” and “v”, or “sh” and “zh”, are highly confusable. 當聲學模組訓練好後;我們會發現大部分的模組的鑑別力都不錯;可是某些模組就特別容易混淆的;像是.....
- The approximate model selection problem in multivariable system was studied.An optimal approximate model selection method based on self-adapting genetic algorithm was proposed. 摘要研究多变量系统近似模型设计方法中近似模型的选取问题，提出基于自适应遗传算法的最优近似模型选取算法。
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- 深远海浮式风电平台 - deep-sea floating wind power platform
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- 京雄高速公路 - Beijing-Xiongan expressway
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- 农业及相关产业增加值 - the added value of agriculture and related industries
