基于模糊度测度和改进遗传算法的图像分割

为了利用模糊集理论进行图像分割,本文提出了一种模糊度测度函数,它衡量了背景模糊集和某一个二值图像的相似性:模糊度越小,这种相似程度越大;并且对模糊度的计算只需要进行简单的比较运算和加法运算,便于硬件实现。本文利用遗传算法求取最佳阈值,针对遗传算法的某些不足之处.我们利用精英策略和模拟退火的思想,对其做了一些修正。实验结果表明:相对于Shannon熵方法和模糊熵方法,本文方法取得了较好的分割结果,并且具有较强的抗噪声能力。     

ZZ3200-14.5/28型支架快速倒装的实践

根据桃园矿单翼相邻工作面倒装的实践,从加快综采设备的搬家速度、提高劳动效率方面,简述桃园矿综采快速倒装的几点主要做法。     

Distinctive Features of Minimization of a Risk Functional in Mass Data Sets

A statistical learning model is considered within the framework of the theory of uniform convergence of frequencies of errors in the case where the convergence is violated as a result of increasing the informativeness of training examples. Drawbacks of nonconstructive refinements of Vapnik-Chervonenkis estimates based on an assumption on the distribution law of violations are shown. A new approach to obtaining constructive estimates for mass data sets is proposed.     

用Install Shield制作安装程序

简要介绍了用 Install Shield软件制作安装程序的必要性 ,结合实例阐述了应用 Install Shield制作安装程序的步骤 ,并给出了学习制作安装程序的基本思路和方法。     

基于粗糙集的生产环境数据挖掘系统方法

针对粗糙集确定性模型缺乏处理不确定信息的特点，Z．Pawlak等提出了粗糙集的概率模型，但该模型没有包括如何处理生产数据集纷繁复杂数据的方法，因此提出了应用粗糙集于生产环境数据挖掘的一种系统方法，并应用UCI的数据集对该方法进行了检验，实验结果体现了它的性能与有效性。     

A self-organizing fuzzy control of weld pool size in GMA welding processes

In arc welding processes, because of the complexity and nonlinearity of heat transfer phenomena, it is often difficult to design an effective control system based upon an exact mathematical model. In this paper, a self-organizing fuzzy control method is proposed to obtain a uniform weld quality by regulation of the surface temperature at a desired level. The proposed control system is designed to comprise a combined structure of the fuzzy SOC with conventional PD control for improving the system's stability. The control experiments show that the proposed controller guarantees a uniform weld quality for various welding conditions.     

浅议轨道交通直流牵引供电系统的构成及保护配置

介绍了城市轨道交通直流牵引供电系统的构成,详细叙述了直流牵引供电系统的主要电气设备及其连接方法,以及系统的运行方式.另外,还简单介绍了系统配置的直流保护以及保护原理和保护作用.     

Speed-up fractal image compression with a fuzzy classifier

This paper presents a fractal image compression scheme incorporated with a fuzzy classifier that is optimized by a genetic algorithm. The fractal image compression scheme requires to find matching range blocks to domain blocks from all the possible division of an image into subblocks. With suitable classification of the subblocks by a fuzzy classifier we can reduce the search time for this matching process so as to speedup the encoding process in the scheme. Implementation results show that by introducing three image classes and using fuzzy classifier optimized by a genetic algorithm the encoding process can be speedup by about 40% of an unclassified encoding system.     

关于随机集值映象的不动点定理

我们得到几个随机集值映象的不动点定理，它推广了Ｍ．Ｓ．Ｋｈａｍ的结果［５］，文中所使用的方法与其它作者不同     

空间环型区域上的关联函数

本文利用锥函数方法，给出空间环型区域上关联函数的一种计算方法。