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。     

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.     

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。     

油气化探样品中蚀变碳酸盐的测定

研究了高精度可控ΔＣ自动分析仪测定蚀变碳酸直的方法。方法线性范围为０．００６－１０％，准确、快速、经济、应用效果良好。     

寄给天国里的父亲

父亲，今天是女儿的生日，三十二岁。还记得么?三月的天居然渐淅沥沥的下起了小雨，女儿漫无目的的在街上游走，却在不知不觉中走到了咱们的老家。站在油漆剥落的大门外，一时间，模糊了所有的时间和空间，往事却那么执著的涌上心头。     

基于模糊综合评判的机械零件材料选择方法

针对在选择机械零件材料时采用传统方法所具有的主观性缺陷，本文结合设计实例，运用模糊数学理论，建立了零年材料选择的模糊综合评判的数学模型，能从钦种可用材料中较客观，合理地确定出最适用的一种材料，从而提高了设计质量。     

甲醛标准储备液浓度的不确定度评定

讨论了影响甲醛标准溶液浓度标定值不确定的各种因素,并评定了甲醛标准溶液浓度标定值的不确定度。当甲醛标准溶液浓度为1058 mg/L时,它的相对标准不确定度为0.70%(K=2)。     

火试金法测定铜精矿中金含量结果的不确定度评定

对火试金法测定铜精矿中金含量的结果进行不确定度评定。分析了铜精矿样品称量、铜精矿样品的不均匀性和配料处理,以及金粒称量等因素对金含量测量结果不确定度的影响,并得出火试金法测量铜精矿中金含量的扩展不确定度。     

9711号北上台风演变及暴雨过程的位涡诊断分析

通过对 971 1号台风登陆北上穿过山东造成山东特大暴雨过程的湿位涡的分析 ,并从湿位涡的角度研究了台风演变及山东特大暴雨的形成机制 ,揭示了冷空气在台风演变及暴雨过程中的重要作用。结果表明 :倾斜涡度发展是暴雨产生和台风加强的重要机制之一 ,暴雨产生在 θe线陡立密集区内 ;湿位涡在这次暴雨过程中对流层低层具有 MPV1 <0 ,MPV2 >0的特征 ,此次暴雨产生在负的MPV1等值线密集区中 ;对流层上部及平流层下部高位涡的下传使得低层斜压性增大 ,引起低层的对流稳定度减小 ,促使气旋性涡度发展 ,有利于位势不稳定能量的释放 ,使得暴雨增幅 ,导致台风的加强并演变为温带气旋。