关于炸药能量的讨论

提出了用模糊数学评价炸药能量的方法 ,对几种炸药能量高低进行了排序 ,并对加权系数的选择方法进行了讨论。     

智能维修训练系统模型的设计与实现

介绍了基于事例的智能维修训练系统中学生模型的结构组成和实现方法。该模型釆用了模糊测量方法即贴近度和择近原则来对学生的知识水平和学习能力进行评估,评估系统在智能维修训练系统中的应用,为准确地评估学生的训练情况,实现个别化教学训练提供了依据,大大提高了评估工作的科学性和合理性。     

BP神经网络在商品房销售价格制定中的运用

运用BP神经网络建立商品房销售基准价格与各影响因素指标之间的非线性关系,制定出更具说服力的销售价格,为商品房销售定价提供合理的参考,为房地产市场价格的理性发展提供合理的依据。     

水面无人艇模糊近域图避障方法研究

针对复杂海洋环境下水面无人艇(USV)的危险规避问题,介绍一种基于局部环境信息感知的避障算法——近域图(ND)法。结合 USV高速的特性及ND法在速度控制上的跳跃性,采用模糊理论平滑速度输出,对ND法进行改进。在速度控制中加入与周围障碍物距离相关的动态系数,从而减小USV自身惯性带来的危险规避动作误差,提高了其安全性。VxWorks系统下的仿真结果表明,改进的模糊ND法能够使USV在复杂的环境下准确、快速地躲避障碍物并到达目标点。     

Nature-inspired framework for measuring visual image resemblance: A near rough set approach

The problem considered in this paper is how to determine the degree of nearness between complex visual objects. The proposed solution to this problem stems from a natural computing approach to solving the visual acuity problem in terms of a granular representation of visual information that is quantifiable as well as understandable for humans. This is accomplished via a near rough set framework in the approximation of a pair of disjoint sets and measurement of distances between sets using various fuzzy pseudometrics. Pseudometrics, in general, and fuzzy pseudometrics, in particular, are useful in measuring the distance between pairs of objects such as sets. Such distances are indicators of the nearness of (resemblance between) visual objects. These observations lead to a number of practical applications such as object recognition and object retrieval in digital image analysis. One such application is reported in this article. The contribution of this article is threefold: introduction of a nature-inspired framework for measurement of visual object resemblance, four different incarnations of the standard fuzzy metric and application of fuzzy metrics in content-based image retrieval experiments.