会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 51. 发明申请
    • Resource-Light Method and apparatus for Outlier Detection
    • 资源光方法和异常检测装置
    • US20080022177A1
    • 2008-01-24
    • US11863704
    • 2007-09-28
    • Naoki AbeJohn Langford
    • Naoki AbeJohn Langford
    • G06F11/30
    • G06N99/005Y10S707/99936Y10S707/99943
    • Outlier detection methods and apparatus have light computational resources requirement, especially on the storage requirement, and yet achieve a state-of-the-art predictive performance. The outlier detection problem is first reduced to that of a classification learning problem, and then selective sampling based on uncertainty of prediction is applied to further reduce the amount of data required for data analysis, resulting in enhanced predictive performance. The reduction to classification essentially consists in using the unlabeled normal data as positive examples, and randomly generated synthesized examples as negative examples. Application of selective sampling makes use of an underlying, arbitrary classification learning algorithm, the data labeled by the above procedure, and proceeds iteratively. Each iteration consisting of selection of a smaller sub-sample from the input data, training of the underlying classification algorithm with the selected data, and storing the classifier output by the classification algorithm. The selection is done by essentially choosing examples that are harder to classify with the classifiers obtained in the preceding iterations. The final output hypothesis is a voting function of the classifiers obtained in the iterations of the above procedure.
    • 异常值检测方法和装置具有较轻的计算资源需求,特别是对存储要求的要求,而且具有最先进的预测性能。 异常值检测问题首先降低到分类学习问题,然后应用基于预测不确定度的选择性抽样来进一步减少数据分析所需的数据量,从而提高预测性能。 归类分类主要在于使用未标记的正常数据作为正例,随机生成合成实例作为阴性实例。 选择性抽样的应用使用了基础的,任意的分类学习算法,由上述过程标记的数据,并且迭代地进行。 每个迭代包括从输入数据中选择较小的子样本,对所选数据训练底层分类算法,以及通过分类算法存储分类器输出。 选择是通过基本上选择难以对上述迭代中获得的分类器进行分类的示例来完成的。 最终输出假设是在上述过程的迭代中获得的分类器的投票函数。
    • 60. 发明授权
    • Gas turbine combustion burner
    • 燃气轮机燃烧器
    • US09163838B2
    • 2015-10-20
    • US13395763
    • 2010-11-08
    • Satoshi TakiguchiShinji AkamatsuKenji SatoNaoki Abe
    • Satoshi TakiguchiShinji AkamatsuKenji SatoNaoki Abe
    • F23R3/14F23R3/28F23R3/36
    • F23R3/14F23C2900/07001F23D2900/00003F23D2900/00008F23D2900/14004F23D2900/14701F23R3/286F23R3/36
    • Provided is a gas turbine combustion burner capable of uniformly ejecting fuel from ejection holes for reduced NOx emissions of gas turbine combustors. The gas turbine combustion burner includes a plurality of swirling vanes (20) for ejecting fuel from fuel ejection holes (23, 24) into air or a mixture of air and fuel flowing from an upstream side while applying a swirling force to form a swirling mixed airflow and a nozzle (21) having the swirling vanes (20) arranged radially on an outer circumferential surface thereof and having a first fuel passage (26), through which the fuel is guided to the fuel ejection holes (23, 24), provided therein, a cavity (25) communicating with the fuel ejection holes (23, 24) is provided in each swirling vane (20), and at least two second fuel passages (27) are provided between the cavity (25) and the first fuel passage (26) along an axial direction.
    • 提供一种燃气轮机燃烧器,其能够从用于减少燃气轮机燃烧器的NOx排放的喷射孔均匀地排出燃料。 燃气轮机燃烧器包括多个旋转叶片(20),用于将燃料从燃料喷射孔(23,24)喷射到空气中或从上游侧流出的空气和燃料的混合物,同时施加旋转力以形成旋转混合 气流和具有涡旋叶片(20)的喷嘴(21),径向布置在其外圆周表面上并且具有第一燃料通道(26),燃料被引导到燃料喷射孔(23,24),所述第一燃料通道 在每个回旋叶片(20)中设置有与燃料喷射孔(23,24)连通的空腔(25),并且至少两个第二燃料通道(27)设置在空腔(25)和第一燃料 通道(26)。