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A Review on the Literature of Bank''''s Loan Pricing with Implicit Default Risks
隐含违约风险的银行贷款定价研究评述

Jin Xuejun,Mao Jie,<br>金,
浙江大学学报(人文社会科学版) , 2008,
Abstract: 银行贷款定价是一项复杂的金融工程,通过研究其中的违约风险与贷款定价的内在关联、贷款定价中违约风险的理论刻画、违约风险与贷款定价的实证分析等问题发现违约风险通过降低信贷市场效率和信贷合同价值影响银行贷款定价决策;贷款定价的理论研究更宜采用内生违约风险,而不是对违约风险作外生刻画;由于缺乏数据,违约风险和贷款定价的经验研究欠缺.
Coke micrograph segmentation based on mean shift and edge confidence
基于均值偏移和边缘置信度的焦炭显微图像分割

wangpeizhen,maoxueqin,maoxuefei,gaoshangyi,ZHANG Dailin,<br>王培珍,,,高尚义,张代林
中国图象图形学报 , 2010,
Abstract: 针对焦炭显微图像中光学组织的特点,提出了一种结合均值偏移和边缘置信度的焦炭显微图像分割。该方法首先计算图像像素的边缘置信度,利用边缘置信度设计均值偏移算法中的权值函数,对特征空间的采样点进行加权,以提高模式点检测的准确性;然后以扩展的均值偏移向量进行迭代,实现焦炭显微图像的初步分割;由于在初步分割中产生过多的聚类数,导致了相同组分区域的过分割。因此通过空域距离和区域边界像素的置信度平均值设置合并条件,合并相同光学组分的焦炭区域,实现图像的最终分割。实验表明,该方法能够有效地分割出焦炭显微图像中不同光学组织组分区域,为焦炭光学组织的自动识别提供可靠依据。
End-point parameter prediction for electric arc furnace based on grey Markov--support-vector-machines
基于grey Markov--支持向量机的电弧炉终点参数预报

ZHANG Shao-de,MAO Xue-fei,MAO Xue-qin,GAO Shang-yi,<br>张绍德,,,高尚义
控制理论与应用 , 2009,
Abstract: Because the end-point parameters of an electric arc furnace(EAF) are affected by both quantitative factors and non-quantitative factors, we combine the grey Markov model with support-vector-machines(SVM) to produce a grey Markov--SVM prediction model for estimating the end-point parameter values of an EAF. The effects from the nonquantitative factors on the prediction values of end-point parameters are reflected by the grey Markov model; while the effects from the quantitative inputs are reflected by the SVM. The GM(1,1) model that reflects non-quantitative factors is established firstly, and then, its prediction values are revised by the Markov chain. Because the effect from the quantitative inputs can not be reflected by the greyMarkov model, the grey Markov-model is certainly not free from prediction errors from the quantitative inputs. These prediction errors are compensated by the SVM model with parameters optimized by particle swarm optimization(PSO) algorithm. The final prediction values of the end-point parameters in EAF are thus obtained. Meanwhile, the rolling forecasting is realized. Experiments show that the grey Markov--SVM model has the best prediction precision in comparison with the grey SVM model or the Markov--SVM model.
Inverse control for electrodes in electric arc furnace based on support-vector-machines identification on nearest neighbor clustering
基于最近邻聚类支持向量机辨识的电弧炉电极逆控制

ZHANG Shao-de,MAO Xue-fei,MAO Xue-qin,<br>张绍德,,
控制理论与应用 , 2010,
Abstract: Based on the equivalency between the support-vector-machines(SVM) with kernel functions and the threelayer feedforward neural network, we use support vector machines to build a multi-variable th-order time-delay inverse system which realizes the pseudo-linear decoupling for the original system. A SVM model identification algorithm on nearest neighbor clustering is proposed; and the control strategy is designed which combines the feedforward self-tuningparameter PD regulator with the inverse control based on SVM. Through the simulation research on the typical MIMO discrete nonlinear invertible system and the electrode system of the electric arc furnace, we find that the control strategy does not require the a priori knowledge of the mathematical model. Only a small number of input and output data in the sample learning process are sufficient to achieved a high-precision inverse system model. The control system has desirable characteristics of dynamic response and tracking accuracy. The model is highly robust to serious uncertainties, parameters perturbations, and outside interferences.
Progress on the Genes Related to Seed Development
种子发育相关基因的研究进展

ZHANG Li MAO Xue LI Run-Zhi,<br>张莉,,李润植
植物学报 , 2004,
Abstract: Seed development, which involves in multiple genes and their interactions, is a central part of the reproductive process in angiosperms. Recent studies have highlighted the differential expression between male and female genomes, the mechanism of epigenetic processes and the regulation network of development. Studies on genes related to embryo and endosperm development are leading us to an extensive understanding of the mechanisms of seed development and apomixis at the molecular level, which will benefits the research for yield and quality improvement of plant seeds via genetic engineering.
An Analysis of the Industrial Functions of the Knowledge Service Industry:Theoretical and Positive Studies
知识服务业产业效能研究:理论与实证分析

JIN Xue-jun,MAO Jie,YUAN Jia,<br>金,,袁佳
浙江大学学报(人文社会科学版) , 2004,
Abstract: Knowledge service industry is a professional service industry that helps various economic agents gain and utilize information efficiently. The industry has two industrial functions, i.e., internal industrial function and external industrial function. Internal industrial function means that the industry makes full use of knowledge and human resources in society to meet the market demand at the lowest cost. External function is that the industry promotes the advance in the economic structures by playing a positive role in industrial distribution. With the help of these two functions, the industry offers various kinds of knowledge service products to other industries by professional means. It effectively integrates the useful knowledge and information from social departments and individuals, and, according to the market demand of knowledge, effectively allocates knowledge resources to enterprises, individuals or public departments. The two functions of the knowledge service industry can also be observed in China. For instance, the development of the knowledge service industry and local economic growth are positively correlated, which means that the internal and external industrial functions of this industry are conducive to the local economic growth. Given that we use the knowledge service industry's production value, investment and environment for its development as the main indexes of the internal and external industrial functions, positive analysis based on the data of the whole country, as well as Beijing, Shanghai and Zhejiang Province, indicates that economic growth of an area is positively correlated with the increases in the knowledge service industry's production value and investment, as well as with the improvement of the environment for the industry's development. In other words, economic growth is companied with the growth of the knowledge service industry. At the same time, an analysis of relative data, in which national average levels are used as a standard, shows that the positively correlated relationship between the development of the knowledge service industry and the economic growth in both Beijing and Shanghai is weakened. However, the data of Zhejiang Province still supports the conclusion gained in the theoretical studies mentioned above. One of the possible explanations is that some statistic indexes are not suitable for research, because they cannot reflect the real conditions in Beijing and Shanghai accurately.
BEHAVIOUR OF TRACE Mg IN HIGH SPEED STEEL M2
微量Mg在M2高速钢中的作用

MAO Weimin Beijing Polytechnic University University of Science,Technology Beijing,<br>卫民,
金属学报 , 1993,
Abstract: An investigation was made of the eutectic microstructure during solidificationand the prespheroidization of eutectic carbide at elevated temperature of high speed steel M2inoculated with Mg. The traditional lamellar eutectic carbide M_2C in steel M2 may change in-to the fishbone eutectic carbide M_6C and block eutectic carbide MC if proper amount, saying0.012%, of Mg was added. The fishbone eutectic carbide prespheroidization may be retardedby Mg.
RHEOLOGICAL MECHANICS MODEL OF SHEAR RATE THICKENING THE BEHMIOR OF SEMISOLID SLURRISS
剪切速率增稠半固态合金浆料的流变力学模型

CHEN Xiaoyang,MAO Weimin,ZHONG Xuegou,<br>陈晓阳,卫民,
金属学报 , 1998,
Abstract: The constitutive behavior of semisolid slumes depends on a number of macroscopic factors. These factors translate to internal variables and external variables that govern the rheological behavior of the material. Internal variables include a measure of the degree of agglomeration among solid pericles, fluid phase viscosity, particle size, particle morphology, and distribution of particle sizes. External variables are temperature and shear rate. According to the different characters of semisolid slurries, we can give the corresponding new models under the different conditions on the basis of the primary models.
Knowledge Representation Based on OWL for Emergency Response in the Field of Natural Disasters
基于OWL的自然灾害领域应急响应知识表示方法

WANG Hao-Zhong,MAO Xue-Min,<br>王昊中,
计算机系统应用 , 2012,
Abstract: This paper uses ontology, OWL(Ontology Web Language) and related technologies on semantic web, and through using first-order predicate logic and production knowledge representation to specifically describe emergency response in the earthquake. The research provides a reference to achieve that knowledge representation and sharing for emergency response in the field of natural disasters.
Study on the Annual variations of TN and TP and the Eutrophication in Hangzhou West Lake
杭州西湖总氮、总磷周年变化与水体富营养化研究

mao cheng ze,yu xue fang,shao xiao yang,<br>成责,,邵晓阳
水生态学杂志 , 2010,
Abstract: 2006年10月~2007年9月,对西湖5个主要湖区的8个样点水体的温度、溶解氧、pH、透明度、悬浮物、总氮、总磷、叶绿素a浓度等理化因子和藻类生物量进行测定和分析,讨论总氮、总磷与优势种藻类、藻类总量的平均浓度的关系。结果表明,总氮年平均值2.63mg/L,变化范围0.17~7.88mg/L;总磷年平均值为0.087mg/L, 10月最高,为0.187mg/L;叶绿素年平均值为24.49μg/L,最大值和最小值分别出现在2007年7月(50.59μg/L)与2月(1.09μg/L)。优势种藻类及藻类总量的平均浓度与总氮呈极显著负相关(P<0.01),与总磷呈显著正相关(P<0.05),总磷为西湖藻类增殖的主要限制因子。作为一个内源性污染的浅水富营养化湖泊,西湖的治理需要控制人为因素对水体的影响,减少底泥营养盐的再释放,尤其是降低可溶性磷酸盐的释放,从而抑制藻类的过量繁殖。
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