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Search Results: 1 - 10 of 99400 matches for " 徐瑞 "
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中西方丑角在正戏和民娱中的功能差异与嬗变
Functional Difference and Transmutation of Opera and Folk Art Clown between East and West Cultures
 [PDF]


World Literature Studies (WLS) , 2014, DOI: 10.12677/WLS.2014.23007
Abstract:
审丑也是人类审美意识的重要方面。比较中西方戏剧史丑角的作用可以看出:丑角在中西早期正统戏剧中具有不同的功能,其功能后来也在正统戏剧和民间娱乐中发生了嬗变。这种功能差异和嬗变,因不同文化背景而使然,可通过文化差异分析给予合理阐释。
Ugliness is one of the most important aesthetic conceptions in human aesthetic experience. The functional difference and transmutation of opera and folk art clown will be found by comparing the clown history of east and west. Some reasonable explanations of these differences also will be illustrated according to the unique cultural background.
一类具有Leakage时滞的反应扩散神经网络在间歇控制下的指数同步
Exponential Synchronization of Reaction-Diffusion Neural Networks with Time Delay in the Leakage Term Based on Periodically Intermittent Control
 [PDF]

王丽丽,
Advances in Applied Mathematics (AAM) , 2016, DOI: 10.12677/AAM.2016.52038
Abstract: 本文研究了一类具有混合时滞和Leakage时滞的反应扩散神经网络的指数同步问题。通过构造适当的Lyapunov泛函,结合不等式分析技巧,得到了系统在周期性间歇控制下实现指数同步的条件,且这些条件既依赖于Leakage时滞,又依赖于扩散系数和扩散空间。本文所研究的模型更具有一般性,所得结果去掉了对时滞的限制,降低了同步条件的保守性。最后通过数值模拟说明了所得结论的可行性。
In this paper, the exponential synchronization of neural networks with spacial diffusion, mixed time-varying delays and leakage delay is investigated. By means of Lyapunov functional technique and some inequality techniques, exponential synchronization criteria dependent on leakage delay, diffusion coefficients and diffusion space are derived for the neural networks based on periodically intermittent control. The model studied in this paper is more general. The results obtained remove the restriction on the time-delays and are less conservative. Numerical simulations are carried out to illustrate the feasibility of the proposed theoretical results.
具有时变传输时滞的高阶Cohen-Grossberg型BAM神经网络的周期解
Periodic Solution for a Class of Higher-Order Cohen-Grossberg-Type BAM Neural Networks with Periodic Coefficients and Time-Varying Delays
 [PDF]

田晓红,
Advances in Applied Mathematics (AAM) , 2016, DOI: 10.12677/AAM.2016.54095
Abstract: 本文研究了具有周期系数和时变传输时滞的高阶Cohen-Grossberg型BAM神经网络,利用拓扑度中的Mawhin延拓定理,讨论了系统周期解的存在性,并通过构造适当的Lyapunov泛函,给出了周期解全局稳定的充分条件。
A class of higher-order Cohen-Grossberg-type BAM neural networks with periodic coefficients and time-varying delays is studied in this paper. By using the continuation theorem of Mawhin’s coincidence degree theory, the existence of periodic solutions of networks is discussed, and by constructing appropriate Lyapunov functional, sufficient conditions are established for the global stability of the periodic solution.
信用卡违约预测模型分析以及影响因素探究
Study on Analysis and Influence Factors of Credit Card Default Prediction Model
 [PDF]

, , 王国长
Statistics and Applications (SA) , 2016, DOI: 10.12677/SA.2016.53026
Abstract: 信用卡对于银行来说是高收益和高风险并存的业务,伴随信用卡业务发展的是各大银行都在利用网络和移动端的数据来建立客户的信用评分系统。如何从客户所填的资料里对客户进行信用评估、如何鉴别所填资料的真假性及应该要求客户填什么类型的资料等对银行来说是至关重要的。本文基于2005年台湾信用卡客户数据,建立Lasso-Logistic及随机森林模型来探索影响客户信用的关键因素,包括个体特征及某些客观特征,通过比较模型的预测准确度以及F得分等指标来选择预测效果更优的模型对银行信用卡违约进行预测分析。信用卡违约预测模型的建立以及影响客户信用的关键因素的探索,对于银行选择客户和设计资料填写具有重要的指导价值,并且能够为信贷决策提供一定的理论支持,具有很强的理论和现实意义。
Credit cards are a bank business in which high income and heavy risk coexist. Along with the de-velopment of the credit card business, banks are using the Internet and mobile data to establish customer credit rating system. How to evaluate customer credit from the information that cus-tomers fill in, and how to identify the information true or false, and what type of information that customers are asked to fill are crucial for banks. Based on the credit card customer data of 2005 in Taiwan, this article established Lasso-Logistic model and random forest model to explore the key factors which effect customer credit, including individual characteristics and some objective cha-racteristics. Through comparing the prediction accuracy of the model and F score index, we selected the model of better prediction effect to forecast the bank credit card defaults. The establishment of the credit card default prediction model and the exploration of the key factors influencing the customer credit not only have a important guidance value for banks to choose customers and design data, but also can provide certain theoretical support for the credit decisions. In addition, it has a strong theoretical and practical significance.
基于LASSO-SVM模型的银行定期存款电话营销预测
Telephone Marketing Forecast of Bank Time Deposits Based on the LASSO-SVM Model
 [PDF]

, , 王国长
Statistics and Applications (SA) , 2016, DOI: 10.12677/SA.2016.53029
Abstract: 定期存款一直以来都是银行的主要资金来源,而电话营销也成为一种低成本,广受银行欢迎的营销模式。因此,如何提高电话营销成功率成为银行急需解决的重要问题。其中,影响客户订购定期存款的因素复杂多样,而这些因素之间可能存在多重共线性,如果银行不加选择地引入众多影响因素来进行订购定期存款的预测,往往不能取得良好的预测效果,甚至产生错误的决策。在统计学习方法中,LASSO方法可以同时进行参数估计和变量选择,所以本文提出了基于LASSO与支持向量机的组合预测方法。同时,与SVM、神经网络、LASSO-神经网络方法的预测效果进行比较,验证了LASSO-支持向量机组合预测方法的拟合预测效果要优于另外三种预测方法。
Time deposits have always been the main source of funds for the bank, and the telephone mar-keting has become a low-cost marketing model, which is widely popular with the bank. Therefore, how to improve the success rate of telemarketing has become an important problem to solve. Among them, the factors that affect customers ordering deposits are complicated, which may have multicollinearity. If banks indiscriminately use many influence factors to predict deposits, they often cannot obtain good prediction effects, and even make the wrong decision. In the statistical learning methods, the LASSO method can be used to estimate parameters and select variables, so this paper presents a combination forecast method based on the LASSO and Support Vector Ma-chine (SVM). At the same time, compared with SVM, neural network, LASSO-neural network me-thods, we find that the effect of LASSO-SVM forecasting method is better than the other three kinds of forecasting methods.?
一种实用的科技期刊编辑微机管理系统

中国科技期刊研究 , 1992,
Abstract:
1990—1991年中国自然科学核心期刊初析

中国科技期刊研究 , 1992,
Abstract:
有态分布式HTTP的实现

计算机科学 , 1999,
Abstract: 1.前言 WWW(World Wide Web)是Internet上最主要的服务。在WWW中,Internet用户通过WWW客户(浏览器)获取分布在全世界各地的WWW服务器的超媒体信息,它们之间传输信息的标准协议是HTTP(HyperText Transfer Protocol,超文本传输协议)。HTTP采用请求/响应方式进行通讯,其运作的基本过程是: (1)客户端与服务器建立连接; (2)客户端向服务器提出请求; (3)服务器响应客户端的请求; (4)客户端与服务器断开连接。
南中国海海洋油气遥感调查研究

国土资源遥感 , 2003, DOI: 10.6046/gtzyyg.2003.01.04
Abstract: 对NOAA-11资料进行除云、大气订正和几何纠正后,用CH4、CH5波段进行SST处理,用CH5、CH2、CH1作假彩色合成图,并对CH1、CH4、CH5波段灰度值与南海相关研究点的海面温度、重力、磁力异常和热流值等实测数据进行多元相关分析,通过观测比较和理论分析,解决了海洋油气遥感技术和应用模型等问题,为海洋油气资源的探测提供科学依据.
非平稳激励下结构随机振动时域分析法
苏成,
工程力学 , 2010,
Abstract: 根据线性动力系统输入与输出之间的线性关系特性,探讨非平稳随机激励下结构随机振动的时域求解方法。把结构动力方程写成状态方程形式,同时把非平稳随机激励向量离散为一系列时间截口随机向量。采用精细积分法对状态方程进行数值求解,可建立任意离散时刻结构响应关于时间截口随机向量的显式线性表达式。基于该显式表达式:一方面可以直接利用一阶矩和二阶矩的运算规律计算任意离散时刻结构响应的均值和方差;另一方面也可进一步实施蒙特卡罗数值模拟,这除了可以得到结构响应的均值和方差时程外,还可以得到结构非平稳随机响应的演化概率密度函数。所提出的方法对随机激励方式没有任何限制,适用面广,且具有计算精度高、计算效率大幅提高以及获得响应统计信息全面等优点。数值算例显示了该文方法的上述优点。
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