基于改进的AdaBoost算法的信用评分模型

将AdaBoost组合算法应用于信用评分模型中的分类问题,并针对该算法在解决不平衡分类问题上的一些不足,对算法进行了改进。应用此改进的AdaBoost算法,创建了新的信用评分模型,并进行了实证分析。实证结果表明,基于改进的AdaBoost算法的信用评分模型可以有效降低由于模型错判而导致的损失。     

Desires matter! Desired attitudes predict behavioural intentions in people who think abstractly: the case of eating products without added salt / ¡Los deseos importan! Las actitudes deseadas predicen las intenciones de comportamiento en las personas que piensan de modo abstracto: El caso del consumo de alimentos sin sal añadida

Introduction. Previous research supports that congruence in the construal level between a person’s mindset and predictors enhanced the strength of predictions. Because desired attitudes are more abstract than actual attitudes, we expected that desired attitudes would better predict behavioural intentions in people who present an abstract style of thinking. Objective. We tested this matching effect between desired attitudes and abstractness by measuring the construal level as a person’s base-rate tendency. Method. Participants (N = 105) reported their past experience and actual and desired attitudes towards eating products without added salt and their behavioural intentions. To classify participants according to an abstract or a concrete way of thinking, their first thought was coded using the linguistic category model (LCM). Results. The simple slopes analysis showed that desired attitudes significantly influenced behavioural intentions for participants with an abstract way of thinking. Conclusion. Our results support the relevance of desired attitudes in terms of behavioural predictions and extend the role of the construal level in the prediction and promotion of desirable but demanding behaviour in the framework of individual differences.     

时间窗口约束下基于改进蚁群算法的协同制造调度研究

与传统调度模式不同，协同制造模式下企业之间的调度模式极其复杂。协同企业间的加工工序路线并不固定，且不同类型产品具有不同的加工路线网络。为此本文针对平衡型、瓶颈型、跳跃型、混合型四类具有典型特点的协同制造网络G_p进行分析和设计；考虑制造企业同类产品合并加工策略，构建基于连续加工量的分段生产成本函数；通过设计合理的订单最早交货时间和最晚交货时间，对订单交货进行时间窗口约束，并在此基础上构建了由制造商生产成本W_c^m、订单等待W_s^k（Q_k， T'_k）和提前完工库存成本W_s^k（Q_k， T″_k）、延期惩罚成本构成W_l^k（Q_k， T'″_k）的目标函数。为求解该模型，创新性将蒙特卡洛思想引入蚁群算法，提高蚂蚁选择合理性，避免局部最优；同时，采用移动窗口[min， max]奖励机制，并且对信息素奖励乘以平衡系数k（N）提高奖励可信度，加快搜索速度并提高求解性能。仿真结果表明，本文构建调度模型合理，可以获得优化的调度结果；同时，本文提出的蚁群改进寻优算法具有良好的求解速度和收敛性，算法具有较好的稳定性。     

A statistical multivariable optimization method using improved orthogonal algorithm based on large data

Multivariable optimization under large data environment concerns with how to reliably obtain a set of optimization results from a mass of data that influence the object function complexly. This is an important issue in statistical calculation because the complexity between variable parameters leads to repeated statistical calculation analysis and a significant amount of data waste. A statistical multivariable optimization method using improved orthogonal algorithm based on large data is proposed. Considering the optimization problem with multi-parameters under large data environment, a multi-parameter optimization model used for improved orthogonal algorithm is established based on large data. Furthermore, an extensive simulation study on temperature field distribution of anti-/de-icing component was conducted to verify the validity of the statistical calculation analysis optimization method. The optimized temperature field distribution meets the anti-/de-icing requirements through numerical simulation. Simulation results show that the optimization effect is more evident and accurate than the non-optimized temperature distribution with the optimized results of the proposed method. Results verify the effectiveness of the proposed method.     

河南省普通高校影视教育类课程现状与改进方法研究

河南省高校影视教育类课程的现状不容乐观,相关问题严重阻碍了影视教育的教学水平等。笔者建议从培养师资力量,提升课程地位与加强课程建设,改进教学内容与方法等方面进行改善,探索新的教学模式以适应时代的需要。     

用改进的试探函数法求解广义KdV方程

试探函数法求解非线性数学物理中一个非常著名的非线性偏微分方程—广义KdV方程,求得其一般形式的指数函数解,据此不但求得了广义KdV方程的sech2型钟状正则孤波解,而且求得了其csch2型奇异行波解,最后,利用一些熟知的数学关系式,又求得其若干其它显式精确解,包括三角函数型周期波解等。     

基于改进熵值法的西部地区城市化水平综合评价研究

从广义城市化的内涵出发,构建了融人口、经济、社会文化和城市建设于一体的城市化水平评价指标体系,采用改进的熵值法,对西部12个省区的城市化水平给予了综合评价,并对其2003-2005年的城市化水平进行综合排序,用以找出各省区的优势和差距,便于针对性地制定提高城市化水平的对策。     

HPAM与油之间的界面剪切粘度实验研究

用改进后的沟槽式界面粘度仪测定方法系统地测量了不同聚合物,不同聚合物浓度,不同矿化度的聚合物溶液/模拟油体系在不同温度下的界面剪切粘度。实验结果表明,聚合物溶液/模拟油的界面剪切粘度同时受温度、聚合物浓度及溶液矿化度的影响,且其变化规律与聚合物溶液的体相粘度的变化规律截然不同。通过分析,提出了表征界面流变性的另一参数—无因次界面粘度,它排除了因聚合物溶液体相粘度变化带来的界面粘度变化,并分析了温度、聚合物浓度和溶液矿化度对无因次界面粘度的影响规律。     

Lower bounds for confidence coefficients for confidence intervals for finite population quantiles

Assuming stratified simple random sampling, a confidence interval for a finite population quantile may be desired. Using a confidence interval with endpoints given by order statistics from the combined stratified sample, several procedures to obtain lower bounds (and approximations for the lower bounds) for the confidence coefficients are presented. The procedures differ with respect to the amount of prior information assumed about the var-iate values in the finite population, and the extent to which sample data is used to estimate the lower bounds.     

Improved pretest nonparametric estimation in a multivariate regression model

Shrinkage pretest nonparametric estimation of the location parameter vector in a multivariate regression model is considered when nonsample information (NSI) about the regression parameters is available. By using the quadratic risk criterion, the dominance of the pretest estimators over the usual estimators has been investigated. We demonstrate analytically and computationally that the proposed improved pretest estimator establishes a wider dominance range for the parameter under consideration than that of the usual pretest estimator in which it is superior over the unrestricted estimator.