期刊文献+
共找到4篇文章
< 1 >
每页显示 20 50 100
BEHAVIOR AS t→∞ OF THE SOLUTIONS OF THE LINEAR SYSTEM OF ELASTIC THEORY ON NON-STAR-SHAPED EXTERIOR DOMAINS
1
作者 刘德辅 《Acta Mathematica Scientia》 SCIE CSCD 1995年第1期103-112,共10页
The behavior as t→∞ of solutions of the linear system of elastic equations defined on anon-star-tshaped exterior domains in Rn (n≥3) is discussed.It has showed that the local energydecays with arate of t-1+H (0≤H... The behavior as t→∞ of solutions of the linear system of elastic equations defined on anon-star-tshaped exterior domains in Rn (n≥3) is discussed.It has showed that the local energydecays with arate of t-1+H (0≤H≤1),nonuniformly with respect to the geometrical propertiesof the obstacle.and when n is odd the local energy decays exponentially.For the classical elasticwave,when n=3,the behavior of the solution of the nonhomogeneous system with a right sideterm periodical with respect to time t is discussed. 展开更多
关键词 Elastic Theory Asymptotic behavior Local Energy Decay
下载PDF
Local Government Behavior behind China's Excessive Investment under Decentralization——Theoretical and Empirical Analysis Based on Manufacturing Sector
2
作者 段国蕊 臧旭恒 《China Economist》 2014年第4期86-98,共13页
This paper investigates the effect of local government intervention on capital deepening of manufacturing sector by using interprovincial panel data sets of 28 Chinese provinces,municipalities and autonomous regions b... This paper investigates the effect of local government intervention on capital deepening of manufacturing sector by using interprovincial panel data sets of 28 Chinese provinces,municipalities and autonomous regions between 1994 and 2011.Theoretical research indicates that as a transitional economy,China's local government intervention in corporate investment behaviors will cause excessive investment,thus bringing about a long-term and sustained tendency of capital deepening in manufacturing sector.Empirical test further discovers that in a certain range,the phenomenon of capital deepening in manufacturing sector is not an inevitable result endogenous to economic development and technology progress,and that investment behaviors of manufacturing sector are largely subject to the external institutional environment.Fiscal decentralization has indeed promoted capital deepening of manufacturing sector.Financial credit expansion and interventions in SOEs are major instruments for local governments to intervene in the capital deepening of manufacturing sector and such an influence is particularly significant for China's central,western and northeast regions.Therefore,clarifying government functions and improving local government performance review mechanism are of great significance to the healthy development of China's manufacturing sector. 展开更多
关键词 fiscal decentralization local government behavior excessive investment capital deepening
下载PDF
Consideration of the Local Correlation of Learning Behaviors to Predict Dropouts from MOOCs 被引量:4
3
作者 Yimin Wen Ye Tian +3 位作者 Boxi Wen Qing Zhou Guoyong Cai Shaozhong Liu 《Tsinghua Science and Technology》 SCIE EI CAS CSCD 2020年第3期336-347,共12页
Recently, Massive Open Online Courses(MOOCs) have become a major online learning methodology for millions of people worldwide. However, the dropout rates from several current MOOCs are high. Usually, dropout predictio... Recently, Massive Open Online Courses(MOOCs) have become a major online learning methodology for millions of people worldwide. However, the dropout rates from several current MOOCs are high. Usually, dropout prediction aims to predict whether a learner will exhibit learning behaviors during several consecutive days in the future. Therefore, the information related to the learning behaviors of a learner in several consecutive days should be considered. After in-depth analysis of the learning behavior patterns of the MOOC learners, this study reports that learners often exhibit similar learning behaviors on several consecutive days, i.e., the learning status of a learner for the subsequent day is likely to be similar to that for the previous day. Based on this characteristic of MOOC learning,this study proposes a new simple feature matrix for keeping information related to the local correlation of learning behaviors and a new Convolutional Neural Network(CNN) model for predicting the dropout. Extensive experimental validations illustrate that the local correlation of learning behaviors should not be neglected. The proposed CNN model considers this characteristic and improves the dropout prediction accuracy. Furthermore, the proposed model can be used to predict dropout temporally and early when sufficient data are collected. 展开更多
关键词 Massive Open Online Courses(MOOCs) dropout prediction local correlation of learning behaviors Convolutional Neural Network(CNN) educational data mining
原文传递
A POSTERIORI ESTIMATOR OF NONCONFORMING FINITE ELEMENT METHOD FOR FOURTH ORDER ELLIPTIC PERTURBATION PROBLEMS 被引量:1
4
作者 Shuo Zhang Ming Wang 《Journal of Computational Mathematics》 SCIE EI CSCD 2008年第4期554-577,共24页
In this paper, we consider the nonconforming finite element approximations of fourth order elliptic perturbation problems in two dimensions. We present an a posteriori error estimator under certain conditions, and giv... In this paper, we consider the nonconforming finite element approximations of fourth order elliptic perturbation problems in two dimensions. We present an a posteriori error estimator under certain conditions, and give an h-version adaptive algorithm based on the error estimation. The local behavior of the estimator is analyzed as well. This estimator works for several nonconforming methods, such as the modified Morley method and the modified Zienkiewicz method, and under some assumptions, it is an optimal one. Numerical examples are reported, with a linear stationary Cahn-HiUiard-type equation as a model problem. 展开更多
关键词 Fourth order elliptic perturbation problems Nonconforming finite elementmethod A posteriori error estimator Adaptive algorithm Local behavior.
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部