向量和

This paper investigates stock prediction of financial securities market and studies models of fuzzy neural networks and support vector machine deeply into the foresting theories and actual results of time series of China financial securities markets, analyses, compares and evaluates on the results of the research.

本文讨论了金融证券系统中的股票预测问题并深入研究了模糊神经网络和支持向量机模型对中国金融证券市场时间序列预测的理论和实际预测结果，并对其进行了分析、比较和评估。

In contrast to conventional optimization algorithms whose iterates are computed and analyzed deterministically, randomized methods rely on stochastic processes and random number/vector generation as part of the algorithm and/or its analysis.

传统的最优化算法中迭代的计算和分析是确定的，与之相比，随机方法依靠随机过程和随机数字/向量的生成作为算法和算法分析的一部分。

The basic relationship between the the first half-wave peak value of transient current and the initial firing angles is found by means of analytical method.The practical method is put forward to determine the initial two-phase and the third phase firing angles with the limiting value and the space vector varying track of transient current.And then the subsequent series of firing angles with the even step are calculated by using the speed at the time of re-switching.The suppressive effect to the inrush current is verified with simulation and experiment of rapid soft re-switching control,by which the influence of different speed to rapid soft re-switching course is analyzed besides.3 To analyze the power loss for typical periodically variable running load and deeply study the energy-saving principle and control mode of the intermittent power supply approach. Futhermore,the novel integrated energy-saving control technique is developed on base of the intermittent power supply approach.

通过解析方法找到快速软投入初始触发角与瞬态电流首半波峰值加热板之间的基本关系，进而提出了由限流值和空间向量轨迹确定初始两相和第三相触发角的方法，并以固定步长均匀递减的方式由投入时转速计算出其它后续触发角；结合仿真和实验验证了快速软投入对冲击电流的抑制作用，并分析了不同转速下投入时对电源快速软投入过程的影响。3对典型周期性变工况负载特性进行能耗分析，深入研究断续供电节能机理和控制模式，并进一步发展了以断续供电为主的综合节能控制新技术。

The basic relationship between the the first half-wave peak value of transient current and the initial firing angles is found by means of analytical method.The practical method is put forward to determine the initial two-phase and the third phase firing angles with the limiting value and the space vector varying track of transient current.And then the subsequent series of firing angles with the even step are calculated by using the speed at the time of re-switching.The suppressive effect to the inrush current is verified with simulation and experiment of rapid soft re-switching control,by which the influence of different speed to rapid soft re-switching course is analyzed besides.3 To analyze the power loss for typical periodically variable running load and deeply study the energy-saving principle and control mode of the intermittent power supply approach. Futhermore,the novel integrated energy-saving control technique is developed on base of the intermittent power supply approach.

通过解析方法找到快速软投入初始触发角与瞬态电流首半波峰值之间的基本关系，进而提出了由限流值和空间向量轨迹确定初始两相和第三相触发角的方法，并以固定步长均匀递减的方式由投入时转速计算出其它后续触发角；结合仿真和实验验证了快速软投入对冲击电流的抑制作用，并分析了不同转速下投入时对电源快速软投入过程的影响。3对典型周期性变工况负载特性进行能耗分析，深入研究断续供电节能机理和控制模式，并进一步发展了以断续供电为主的综合节能控制新技术。

UV and NIR were used for online detecting in this study. Furthermore, some chemometrics algorithms such as SMLR, PCR, PLS, SVM, etc. were used to establish the rapid quality evaluation methods of the raw materials, intermediates and preparation of Qingkailing injection. This study provided an example of online quality control of Chinese medicine injection and oral liqid. The formula of Qingkailing injection is composed of cholic acid, hyodeoxycholic acid, Cornu Bubali, baicalin, Radix Isatidis, Fructus Gardeniae, Flos Lonicerae Japonicae and Concha Margaritifera.

本研究采用适合在线检测要求的紫外光谱和近红外光谱分析技术，结合逐步多元线性回归、主成分回归、偏最小二乘和支持向量机等化学计量学方法建立清开灵注射剂生产原料药、中间体和成品的快速质量评价方法，为中药注射剂及口服液的在线质量控制提供研究思路。

The dissertation recommends some kinds of methods and measures: such as adjusting the network configuration, connecting value and threshold value by the total value of all stylebooks, adding part of the adjusting value of the last time to the current adjusting value, transforming the stylebooks to standard value, optimizing activation function, appending threshold value to the putout of the nerve cell and so on. Simultaneity, the author brings forward a new method to optimize the model of artificial neural network . It is using the automatically adaptive genetic algorithm to make the network configuration, connecting value and threshold value of artificial neural network better. The method can make the model better and improve the simulating effect and forecasting precision.Genetic algorithm is an arithmetic based on evolution and genetics used to search the optimization .

本文针对人工神经网络应用中存在的上述问题，介绍了各种改进方法与措施：如用所有样本的总效果对网络权值矩阵和阈值向量进行调整、调整量中加入动量项、标准化训练样本数据、优化激励函数以及给神经元的输出值添加偏置量等；同时还提出了一种新的优化人工神经网络模型的方法，即采用自适应遗传算法对人工神经网络模型的网络结构和权值阈值进行全局优化搜索，以提高大坝安全监测人工神经网络模型的拟合成果和预测精度。

It transforms the subtractive image from RGB color space to SRG color space. The experiment shows that it is efficient to segment the shadow with the moving vehicles.Secondly, in the vehicle classification module, we process the subtractive image by the morphological filtering and connected component labeling, obtain the figure and position of moving vehicle, and decide the characteristic vectors.At last, two vehicle classifiers are designed, one is the RBFNN classifier based on fuzzy K-means clustering, the other is the RBFNN classifier based on immune algorithm.

在车型分类方面，首先对差分图像作形态学滤波和区域连通处理，得到运动车辆的位置和轮廓，根据分类标准提取出车型分类所需的特征向量，然后分别用两种方法设计出车型分类器，一种是基于模糊K-均值聚类的RBF网络车型分类器，另一种是基于免疫算法的RBF网络车型分类器，通过在相同环境下的实验对比分析，基于免疫算法的RBF网络车型分类器在分类准确性和速度方面都优于基于模糊K-均值聚类的RBF网络车型分类器。

In contrast to conventional optimization algorithms whose iterates are computed and analyzed deterministically, randomized methods rely on stochastic processes and random number/vector generation as part of the algorithm and/or its analysis.

传统的最佳化演算法中迭代的计算和分析具有确定性，与之相比，随机方法依靠随机过程和乱数字/向量的生成作为演算法和演算法分析的一部分。

In contrast to conventional optimization algorithms whose iterates are computed and analyzed deterministically, randomized methods rely on stochastic processes and random number/vector generation as part of the algorithm and/or its analysis.

传统的最优化算法中迭代的计算和分析具有确定性，与之相比，随机方法依靠随机过程和随机数字/向量的生成作为算法和算法分析的一部分。

According to the features of natural language, conduct a deep study and comparison in many fields such as the algorithm optimization, features'representation and selection, multi-class problem, parameter selection and probabilistic output of support vector machine such that the general machine learning technology can be applied into natural language processing tasks. 2. According to the feature of lexical tagging , propose a novel disambiguate algorithm that improves the performance and efficiency of this task and provides a good fundament for deeper analysis.

针对自然语言处理任务的特点，对于算法优化、特征的表示和选择、多分类问题、参数选择和支持向量机的概率输出等问题进行深入的研究和比较，使自然语言处理任务可以应用通用的高精度机器学习方法得以解决。

We have no common name for a mime of Sophron or Xenarchus and a Socratic Conversation; and we should still be without one even if the imitation in the two instances were in trimeters or elegiacs or some other kind of verse--though it is the way with people to tack on 'poet' to the name of a metre, and talk of elegiac-poets and epic-poets, thinking that they call them poets not by reason of the imitative nature of their work, but indiscriminately by reason of the metre they write in.

索夫农 、森那库斯和苏格拉底式的对话采用的模仿没有一个公共的名称；三音步诗、挽歌体或其他类型的诗的模仿也没有——人们把&诗人&这一名词和格律名称结合到一起，称之为挽歌体诗人或者史诗诗人，他们被称为诗人，似乎只是因为遵守格律写作，而非他们作品的模仿本质。

The relationship between communicative competence and grammar teaching should be that of the ends and the means.

交际能力和语法的关系应该是目标与途径的关系。