基于进化人工神经网络的组合系统滤波技术

在组合系统运用Kalman滤波器技术时,准确的系统模型和可靠的观测数据是保证其性能的重要因素,否则将大大降低Kalman滤波器的估计精度,甚至导致滤波器发散.为解决上述Kalman应用中的实际问题,提出了一种新颖的基于进化人工神经网络技术的自适应Kalman滤波器.仿真试验表明该算法可以在系统模型不准确时、甚至外部观测数据短暂中断时,仍能保证Kalman滤波器的性能.     

一种改进的进化规划算法

本对于全局优化问题提出一个改进的进化规划算法，该算法以概率p接收基于电磁理论求出合力方向作为随机搜索方向，以概率1-p接收按正态分布产生的随机搜索方向。改进算法不仅克服了传统进化规划算法随机搜索的盲目性，而且保留了传统进化规划算法全局搜索性。本算法应用于几个典型例题，数值结果表明本算法是可行的，有效的。     

宇宙具有十二面体形状

 在从观测宇宙微波背景的Wilkinson微波各向异性探测器(WMAP)获得的数据基础上,美国数学家计算出,宇宙多半最终会具有十二面体形状。进行的是反证法:如果宇宙是无限的,则在微波背景上应观察到任何大小的波,但是实际上不是这样:Wilkinson微波各向异性探测器确实一次也没有观测到巨大的波。根据以杰弗里·威克斯(JeffreyWeeks)博士为首的数学家小组的计算,在宇宙微波背景上的波看上去完全像从规则几何形状十二面体内部看到的一样。其实,其他专家也证实,在其他几何形状内部也能产生类似的波结构。     

Crystal-Orientation Dependent Evolution of Edge Dislocations from a Void in Single Crystal Cu

The micro-void growth by dislocation emission under tensile loading is explored with focus on the influence of crystal orientations. Based on the elastic theory, a dislocation emission criterion is formulated. It is predicted that the preferential location of dislocation nucleation and its threshold stress are dependent on the crystal orientation. Large-scale molecular dynamics （MD） simulations are also performed for single crystal copper to illustrate the dislocation evolution pattern associated with a nano-void growth. The results are in line with those given by the theoretical prediction. As revealed by MD simulations, the characteristics of void growth at micro-scale depend greatly on the crystal-orientation.     

共同治理结构下企业所有权配置的进化博弈分析

本文运用进化博弈论的方法,对有限理性的利益相关者在共同治理结构下参与企业所有权配置并达到纳什均衡的进化博弈过程进行分析,并通过算例说明了这是一个各方相互沟通和反复博弈的动态过程,逐步实现一致性的企业所有权配置的纳什均衡.     

Damage and fracture evaluation of granular composite materials by digital image correlation method

This paper presents the applications of digital image correlation technique to the mesoscopic damage and fracture study of some granular based composite materials including steelfiber reinforced concrete, sandstone and crystal-polymer composite. The deformation fields of the composite materials resulted from stress localization were obtained by the correlation computation of the surface images with loading steps and thus the related damage prediction and fracture parameters were evaluated. The correlation searching could be performed either directly based on the gray levels of the digital images or from the wavelet transform (WT) coefficients of the transform spectrum. The latter was developed by the authors and showed higher resolution and sensitivity to the singularity detection. Because the displacement components came from the rough surfaces of the composite materials without any coats of gratings or fringes of optical interferometry, both surface profiles and the deformation fields of the composites were visualized which was helpful to compare each other to analyze the damage of those heterogeneous materials. The project supported by the National Natural Science Foundation of China (10125211 and 10072002), the Scientific Committee of Yunnan Province for the Program of Steel Fiber Reinforced Concrete, and the Institute of Chemical Materials, CAEP at Mianyang     

基于指数分布的进化策略

典型的进化策略受自然进化过程的启发而成为求解全局优化问题的重要方法。传统的ES变异算子作为一个主要的进化技术是建立在正态分布的随机变量基础上的，本文提出了基于指数分布的进化策略由于采用了新的变异算子有效地减少了产生探试解的成本，从而优于传统的进化策略。     

Evolution of Weighted Networks by Duplication-Divergence Mechanism

The duplication and divergence process is ubiquitous in nature and man-made networks. Motivated by the duplication-divergence mechanism which depicts the growth of protein networks, we propose a weighted network model in which topological evolution is coupled with weight dynamics. Large scale numerical results indicate that our model can naturally generate networks with power-law-like distributions of degree, strength and weight. The degree-strength correlation is illustrated as well. These properties are in agreement well with empirical data observed in real-world systems. Furthermore, by altering the retention probability δ, weighted, structured exponential networks are realized.     

基于离散小波变换的蛋白质结构、功能与进化关系延时交叉相关分析

基于氨基酸的疏水特性, 将离散小波变换与延时交叉相关分析相结合, 提出了一种分析蛋白质结构、功能和进化关系的新方法——序列小波层次相关法. 以丝氨酸蛋白酶超家族中Trypsin种属为研究对象, 描述了该方法在揭示不同物种的Trypsin蛋白质进化关系中的应用; 以蛋白质酪氨酸磷酸酶、血红蛋白和溶菌酶为例, 采用该方法揭示了蛋白质之间功能与序列的内在关系. 该方法为非参数方法, 具有简单、直观、可视和可操作性强等特点, 且不需要事先知道蛋白质的结构, 仅从蛋白质的氨基酸序列出发即可比较和揭示蛋白质之间的关系.