1.Gram,s matrix concept based on Euclid space and Unitary space is extended ,thus vector group Gram,s matrix in inner-product space comes about. After discussing the half positive definitiveness of Gram,s matrix,an inequality on Gram,s determinant in inner-Product space is given.
首先将Euclid空间与酉空间中基的Gram矩阵概念作了推广 ,得到内积空间中向量组的Gram矩阵 ,讨论了Gram矩阵的半正定性 ,最后给出内积空间中关于Gram行列式的不等式 .
2.Among them, there were 54 gram-positive bacteria, which was identified by gram staining using Live Baclight? Bacteria Gram Stain Kit. We used fluorescent in situ hybridization to identify Actinobacteria.
我们用Live Baclight~(TM) Bacteria Gram Stain Kit对分离得到的细菌进行了革兰氏染色特性的研究，得到全部呈红色荧光的革兰氏阳性细菌共计56株，占87.5％，初步结果表明，所选抗生素的加入对抑制革兰氏阴性菌是非常有效的。
3.The approach uses tri-phone models as recognition sub-word unit in the acoustics and speech layer, and uses statistic language model in syntax layer which is based on bi-gram and tri-gram.
其中在声学语音层使用三音子模型作为基本的子词单元(sub-word unit),在词层句法层使用基于双词文法(bi-gram)和三词文法(tri-gram)的统计语言模型。
4.A Chinese speech recognition method based on character-based N-gram model is proposed in this thesis.
本文提出了基于字的N-gram模型(characterbased N-gram model)的汉语语音识别方法，推导了模型参数的估值公式，并给出了模型的训练和识别算法。
5.THE RESPONSE CHARACTER OF VARIOUS COMPOUNDS ON GRAM-SCHMIDT RECONSTRUCTED CHROMATOGRAM OF GC/FT-IR
在GC/FT-IR的Gram-Schmidt重建色谱图中各类化合物的响应特征
6.By using the extended matrix of the convariances of the coefficients of Zernike polynomials,it is simpler and clearer to calculate of Zernike polynomials than by Gram-schmit orthogonalized method.
由于在该模型中利用了 Zernike 多项式系数协方差的增广矩阵,因而比用 Gram-Schmit 正交化法求 Zernike 多项式系数的方法更为简洁。
7.In order to overcome the disadvantages of traditional rule-based word-segmenting methods, a new method for segmenting the input Chinese language text sentence into words is presented, which consists of a character-based N-gram model and a self-organizing words algorithm based on machine-learning.
为了克服传统的基于规则的分词方法的不足，同时充分利用汉语的特质，我们提出一个具有高查准率的分词算法，该算法采用一种基于字符的统计语言模型—N-gram模型来构造汉语分词模型，同时结合基于机器学习的自组词算法来实现汉语文本的自动分词。 由于采用了基于机器学习的自组词算法，无需人工编制领域词典。
8.A Chinese Text Classifier Based on n-gram Language Model and Chain Augmented Na?ve Bayesian Classifier
基于n-gram语言模型和链状朴素贝叶斯分类器的中文文本分类系统
9.By means of the new type of electromagnetic nondestructive measurement instrument(DWY-1),using the RBF(Radial Basis Function) neural network optimized by modified Gram-Schmidt method,the real-time on line non-destructive detect for hardness of steel parts was realized.
利用DWY-1型电磁无损检测仪,采用改进的Gram-Schm idt方法优化的RBF(径向基函数网络)人工神经网络,实现了钢铁件淬火硬度的实时在线无损检测。
10.When getting some low order semi-invariant withbasic theory of Probability Theory & Mathematical Statistics, we can enough preciselyestimate the PDF and CDF of the load flow by the Gram-Charlier expanding. Thus itsignificantly reduces computation effort and the computation storage space.
应用概率的基本理论和方法求得支路潮流的低阶的半不变量,采用Gram-Charlier展开级数就可足够精确地估计支路潮流的PDF和CDF,从而大大的减少计算量和计算所需要的存储空间。
