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The differences of providing amino acid to kernel of different winter wheatculfivars.93-52 with high protein content in kernel had highest content of amino acid innutrition organs,indicated 93-52 can provide abundance material for protein synthesis ofkernel,namely the source in full,so the content of amino acid in kernel was highest;Compared Lumai21 with Jinanl7,the amino acid content in leaf of Lumai21 was a littlehigher than Jinan17,but the amino acid content in stem、sheath and spike was obviouslylower than Jinan17,also the amount of amino acid restored in nutrition organs was large,the translocation degree was low to kernel,namely the flow was not fluency,which wasthe main reason of low content of amino acid in kernel.

小麦不同品种向籽粒供应氨基酸水平的差异。籽粒蛋白质含量高的93-52各营养器官中的游离氨基酸含量均最高,说明93-52籽粒蛋白质合成所需底物供应充足,即源足,因而其籽粒游离氨基酸含量最高。鲁麦21和济南17相比,鲁麦21叶片中的游离氨基酸含量虽略高于济南17,但茎鞘和穗中的游离氨基酸含量却明显比济南17低,并且在后期鲁麦21营养器官中游离氨基酸滞留的多,向籽粒中的转移程度低,即流不畅,是造成鲁麦21籽粒游离氨基酸含量低的主要原因之一。

In chapter III,we consider the wavelet method for the approximation of the nu-merical Bergman kernel.It is very clear that the Bergman kernel plays an importantrole in the complex analysis and elliptic equations.The Bergman kernel has a closedrelation with the Riemann mapping,Green function,Neumann kernel and the Szeg〓kernel etc.

第三章研究了数值Bergman核数值逼近的小波方法,Bergman核在复分析和椭圆型方程中占有重要地位,它与Riemann映射、Green函数、Neumann函数、核等有着密切联系。

Non-symmetric kernel density estimation is first used for life-table graduation in order to solve boundary bais of symmetric kernel used in the standard kernel density estimator,and compare the symmetric kernel graduation with non-symmetric kernel graduation and obtain the satisfied result.

针对以地称核修匀方法存在着边界偏差这种现象,将非对称核密度估计用于生命表数据修匀中,提出了非对称核修匀方法,并与对称核修匀方法进行比较,得到了令人满意的结果,从而使核修匀方法得到了进一步的推广。

We put forward some new ideas, such as: About the kernel word "tree", Whether "Mu" has the tendency to refer to the tall trees in terms of "Shu" and "Mu"; About the word "sun", we analyze the reason why "Taiyang" has been used until now, but "Daming" which has the same way of construction with "Taiyang" has disappeared for a long time;About the kernel word "swim", we think that "You" is not the same with "Youyong", and takes"swim" as an obvious kernel word which has dual characters in historic and etymologic significance; About the kernel word "sit", though refers to a posture that differes in ancient time and modern days, did not change the meaning of itself, but changes in semantic field.

4提出了一些我们新的想法,如关于"树"、"木"之间,"木"是否有指高大的树的倾向;在核心词"日"中,分析了"大明"、"太阳"构词方式一样,而"太阳"却一直沿用至今的原因;对核心词"游"的再认识,认为"游"是汉语核心词有着社会历史和语源上的双重证据;在核心词"坐"中,古今坐姿的变化,并未使"坐"本身的词义发生演变,而是导致了"坐"语义场的变化等。

By usingthe relation between the Bergman kernel and the Riemann mapping and Plemly for-mulae,the second boundary integral equation about the Bergman kernel is obtained,moreover,the integral kernel is a continuous,without any singularity,parametized Neu-mann kernel.We discuss the case of some symmetric property,and get correspondingresults.

主要利用Bergman核与Riemann映照之间的关系,推导出Bergman核满足带有参数化Neumann核的第二类边界积分方程,积分核是连续的没有任何奇性,并讨论了具有某种对称性质的情形。

Path analysis showed that N translocation rate of culm was higher for the high fresh ear yield varieties,while the N translocation rate of culm and tassel was higher for the high fresh kernel yield varieties,and the N translocation rate of leaf,bracteal leaf and ear axis was higher for the high kernel yield varieties.In addition,higher N translocation rate of leaf had a beneficial effect on N utilization efficiency as for fresh ear,fresh kernel or maturity kernel of the produce of waxy corn.

通径分析表明,鲜穗高产品种茎秆的氮素转移率较高,鲜子粒高产品种茎秆和雄穗的氮素转移率较高,成熟子粒高产品种叶片、苞叶及穗轴的氮素转移率均较高;叶片的氮素转移率高有利于品种鲜穗、鲜子粒及成熟子粒氮素利用效率的提高。

The main contributions of this thesis are as follows:(1)To address the problem of kernel parameterσselection and regulation of the decision boundary in SVDD algorithm,this thesis proposes a new kernel parameter optimization method based on the spheral distribution of samples in kernel space and regulation of the decision boundary method based on KPCA(Kernel Principal Component Analysis).

本论文主要以支持向量数据描述(Support Vector Data Description,SVDD)与随机森林(Random Forests,RF)模式识别工具为基础,对流程工业在线故障诊断的若干问题进行研究,其具体内容如下:(1)针对SVDD的核参数σ优化及其决策边界规整问题,提出了基于核样本球形分布的核参数优化方法与基于核主元分析(Kernel Principal ComponentAnalysis,KPCA)的SVDD决策边界规整方法。

Then we introduced transition probability kernel for the hidden state process and the confederated process. In the deep research, we found that some similar parameters of state transition probability, observation symbol probability and initial state probability were involved in the transition probability kernel of the confederated process. So we can complete the training of traditional HMM parameters by training the transition probability kernel of the confederated process. To our surprised, we got the consistency of transition probability kernel of the confederated process. Meanwhile, we proved the rationality and reliability of the parameters estimation equations under the classical B-W algorithm.

然后对联合过程的转移概率核展开研究,我们根据过程的取值空间的不同,引入了隐状态空间和联合过程空间上的转移概率核,研究中发现在联合空间上的转移概率核包含了在一般的隐马氏模型的参数估计中的所有类似的三组参数(转移概率,观测概率和初始概率),因此对传统的隐马氏模型的参数训练我们可以通过联合过程的转移概率核的训练来完成,更令我们惊奇的是联合过程的转移概率核还具有一致性;同时对于Baum提出的经典的B-W算法给出的关于模型的参数重估计公式,证明了它的合理性和可靠性,即模型经过重估计后的参数能够满足给定的单观测序列在模型下发生的概率是单调递增的。

Researches on kernel clustering algorithms. After combining K-means clustering algorithm and the theory of kernel-based learning algorithms, we propose a fast kernel K-means clustering method which is based on CPD kernel. The experiment results indicate that the clustering effect of the algorithm is better than that of K-means algorithm, the clustering speed of the algorithm is also fast than that of K-means algorithm.

核聚类算法的研究:探讨了K-均值聚类算法,通过将核学习理论与K-均值聚类算法结合,提出了一种基于CPD核函数的快速核K-均值聚类算法,并将该算法与基于Mercer核的核聚类算法进行了比较,实验结果显示,我们的方法不仅比K-均值聚类算法的聚类效果好,而且聚类速度快。

By comparing the activity of theα-amylase and the soluble acid invertase in the kernel and the pedicel, the trend of theα-amylase activity in the kernel and the pedicel showed a peak, theα-amylase activity was high in the early stage, it could promoted amylolysis, supply the nutrition for the kernel development; theα-amylase activity was low in the rapid filling stage, it was in favorable to the starch accumulation.

通过比较籽粒和小穗柄中α-淀粉酶和可溶性酸性蔗糖转化酶的活性表明,籽粒和小穗柄中α-淀粉酶活性均呈单峰变化趋势,籽粒发育早期α-淀粉酶活性较高,可以促使淀粉转化,为籽粒的早期的发育提供营养物质;籽粒发育中期为快速灌浆期,淀粉酶活性较低,利于淀粉的积累。

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