黑子磁流体静力学的一个模型

本文对Ｏｓｈｅｒｏｖｉｃｈ的黑子返回磁通量模型作了适当的修改，使用黑子中心作为边界条件，用五种观测结果，导出了理论模型所需的五个主要参量，用半经验方法求得了黑子静力学模型的磁场、压力和温度等物理量．将此模型应用于一个中等大小的圆形对称黑子，可得到一个特解，结果发现我们的模型既能满足黑子的磁性质，同时又能满足合理的热力学量分布．     

图像目标形状匹配与视频过滤技术研究

通过研究图像目标形状特征的提取、匹配，运用随机过程，投影理论，提出用于识别目标形状统计特性的波动度特征，建立目标形状匹配函数，给出实际图像目标的匹配实现算法，实际系统测试表明该算法能准确、快速完成实际图像目标形状的匹配、过滤，为图像跟踪、识别及视频过滤等应用领域提供了新的可借鉴方法。     

关于Diophantine方程的解

对于正整数a ,设S(a)是Smarandache函数。证明了 :方程S(1·2 ) +S(2·3) +… +S(x(x +1) ) =S(x(x +1) (x +2 ) /3)仅有正整数解x =1。     

对评估勘探设计的数学方法探讨

本文介绍了模糊综合评判的基本原理和数学模型。并给出了在勘探设计评估中因素集、评价集的具体意义及具体的评估过程。最后指出了模糊综合评判在勘探设计评估中的优越性。     

Incorporation of Perception-based Information in Robot Learning Using Fuzzy Reinforcement Learning Agents

Robot learning in unstructured environments has been proved to be an extremely challenging problem, mainly because of many uncertainties always present in the real world. Human beings, on the other hand, seem to cope very well with uncertain and unpredictable environments, often relying on perception-based information. Furthermore, humans beings can also utilize perceptions to guide their learning on those parts of the perception-action space that are actually relevant to the task. Therefore, we conduct a research aimed at improving robot learning through the incorporation of both perceptionbased and measurement-based information. For this reason, a fuzzy reinforcement learning (FRL) agent is proposed in this paper. Based on a neural-fuzzy architecture, different kinds of information can be incorporated into the FRL agent to initialise its action network, critic network and evaluation feedback module so as to accelerate its learning. By making use of the global optimisation capability of GAs (genetic algorithms), a GA-based FRL (GAFRL) agent is presented to solve the local minima problem in traditional actor-critic reinforcement learning. On the other hand, with the prediction capability of the critic network, GAs can perform a more effective global search. Different GAFRL agents are constructed and verified by using the simulation model of a physical biped robot. The simulation analysis shows that the biped learning rate for dynamic balance can be improved by incorporating perception-based information on biped balancing and walking evaluation. The biped robot can find its application in ocean exploration, detection or sea rescue activity, as well as military maritimeac tivity.     

浅谈国土资源部门如何为政府决策科学化民主化当好参谋

江泽民同志在党的十六大报告中指出：“正确决策是各项工作成功的重要前提。要完善深入了解民情、充分反映民意、广泛集中民智，切实珍惜民力的决策机制，推进决策科学化、民主化。各级决策机关都要完善重大决策的规则和程序，建立社情民意反映制度，建立与群众利益密切相关的重大事项社会公示制度和社会听证制度，完善专家咨询制度，     

模糊划分矩阵在岩土参数概率分布中的应用

讨论如何在小样本条件下用已有的过程经验与试验资料确定岩土参数概率分布,用模糊划分矩阵与BAYES方法相结合,给出由小样本试验数据确定岩土参数的概率分布。     

褶皱岩层初始挠曲的分叉特性

基于拖带坐标法建立了岩层大变形的一维非线性微分方程，然后用解析与数值方法研究了变刚度、可伸缩岩层在侧向压力及自重作用下的分叉特性，初步揭示了褶皱岩层初始挠曲的形成机理。