广义形态滤波在滚动轴承降噪中的应用

由于传统的形态滤波采用相同的结构元素,会造成输出倚的现象。因此广义形态滤波采用不同的结构元素,即先小后大,然后用信噪比和滤波误差对滤波效果进行衡量,并和传统的形态滤波进行比较,研究表明广义形态滤波具有更高的信噪比和更小的滤波误差。最后用实测的故障信号进行验证,其滤波性能要好于传统的形态滤波,并且只是加、减和取极值,计算方便,具有较好的应用前景。     

近似拟不变凸集值优化问题的严有效性

在实赋范线性空间中,利用广义切上图导数建立集值优化问题严有效元的必要条件,并在近似拟不变凸假设下得到集值优化问题严有效元的充分条件。     

不确定因素对金融资产配置影响机制的研究

对资产配置的理论和方法进行梳理与评价的基础上,本文揭示了宏观经济因素与微观金融市场的相关性,把不确定因素对金融资产优化配置的影响纳入到定量的研究框架。针对资产管理者不同效用偏好,研究了相关不确定因素对最优资产配置策略的影响机制,对资产持有者在非传统效应偏好下,市场的均衡价格系统进行了理论分析。通过对集权决策偏好与分权决策偏好的比较研究,给出了由于分权决策导致的整体效用损失分析,对大型投资机构的资产优化配置提供了一种策略。对于通胀周期不同阶段对资产配置效率的论证,给出了通过证券市场调整资产配置的建议。     

中国自然资源利用效率与城市化关系的实证分析

利用2002年-2009年省级面板数据,综合考虑节约资源和环境污染,采用稳健广义最小二乘法对城市化和自然资源利用效率的关系进行实证分析.发现城市化对自然资源利用效率影响不显著,这归因于城市化正负两方面的作用.对城市化传导路径的分析表明:城市化提高了劳动生产率、促进了产业结构调整和对外开放,但同时影响了政府行为和物质资本投入,继而产生不利因素.进一步分区域讨论,发现政府行为是城市化进程中最主要的不利因素,且中、西部政府行为的负面影响明显大于东部;中、西部产业结构调整的间接贡献率小于技术进步,东部则相反;物质资本投入对中、东部产生较大的的负面影响,而提高对外开放水平可改善西部地区的自然资源利用效率.根据所得结论,文章最后给出了相关建议.     

一类矩阵方程的广义双对称与广义双反对称解

本文给出了矩阵方程AX=B在SRn×np及ASRn×np上有解的充要条件及解的一般形式.     

New predictive control algorithms based on Least Squares Support Vector Machines

INTRODUCTION Model predictive control (MPC), based on pre-dictive model and receding horizon optimization, has become an attractive feedback control strategy, be-cause it has found successful applications, especially in the process industry. For this kind of control strategy, the predictive model is a crucial component because the essence of MPC is to optimize the fore-cast of process behavior (Rawlings, 2000), and the forecast is accomplished with the predictive model. If the controll…     

转动坐标系中的拉格朗日方程及其应用

在转动坐标系内,通过引入惯性力场及广义惯性势,拓宽了拉格朗日函数的内涵,导出了转动坐标系中的拉格朗日方程。并通过惯性离心力场的势和科氏力场势的举例,再次说明惯性力场在非惯性系中的真实性。     

广义最小生成树的遗传算法研究

本文考虑到节点度的代价问题 ,提出了广义最小生成树的概念 ,并分析了最小生成树在实际应用中的局限性 .针对一般遗传算法求解该问题的不足 ,提出了自调整的变异算子和混合选择策略 .通过仿真 ,证明了广义最小生成树模型的适用性 .最后将改进前后两种算法的仿真结果进行比较 ,证明了改进后遗传算法的有效性 .     

Stability analysis of discrete-time BAM neural networks based on standard neural network models

To facilitate stability analysis of discrete-time bidirectional associative memory (BAM) neural networks, they were converted into novel neural network models, termed standard neural network models (SNNMs), which interconnect linear dynamic systems and bounded static nonlinear operators. By combining a number of different Lyapunov functionals with S-procedure, some useful criteria of global asymptotic stability and global exponential stability of the equilibrium points of SNNMs were derived. These stability conditions were formulated as linear matrix inequalities (LMIs). So global stability of the discrete-time BAM neural networks could be analyzed by using the stability results of the SNNMs. Compared to the existing stability analysis methods, the proposed approach is easy to implement, less conservative, and is applicable to other recurrent neural networks.     

退化的广义逆函数值Padé逼近

A new generalized inverse function-valued Padé approximation (GIFPA) was defined. Existence condition of GIFPA was given and its uniqueness theorem was proved. All possible degeneracy cases of GIFPA were discussed and constructed. An example was given to illustrate its application.