Exponentially weighted moving average ( ewma ) and fuzzy algorithm for the input samples are also developed to improve its recognition accuracy . numerical simulation results show this model possesses many advantages , such as good self - adaptive ability , quick training and good recognition performance 文中提出了采用欧氏距离判别法作为混合型多特征异常模式的识别方法;提出了采用数据模糊化和指数加权滑动平均处理两种提高模型识别精度的方法。
For other auto - control systems , different fuzzy algorithm are put forward individuel in this paper also . the controlling algorithm of the main controlling system is studyed and simulated . the simulation experiments manifest that the controlling system has small exceeding value and good stability when using this algorithm 掘此,本文对主控制系统提出了控制规则可调整的自寻优智能控制算法和其它控制系统的模糊控制算法,并对主控制算法进行了研究和仿真。
Edge detection and contour tracking are very important in computer vision . because the single pixel edges are needed in computer vision , an algorithm of edge detection and contour tracking is proposed using the good local character and multi - scale character of wavelet transform in the dissertation . the fuzzy algorithm is applied to pick the model maximum points , so that the single pixel edge can be obtained 边缘检测和轮廓跟踪在计算机视觉中有着重要的地位,利用小波变换良好的时频域局部化特性和多尺度特性,针对计算机视觉中需要提取单像素的点线等边缘的需求,本文提出了一种基于小波变换的边缘检测和轮廓跟踪算法,通过真正的边缘点是模的局部极值点这一特点,应用模糊算法对模极大值点进一步筛选得到单像素级的边缘,并在边缘跟踪时,有效利用原图像的信息,通过在小邻域内寻找局部峰值对丢失弱边缘进行了补偿。
This article discussed the problems about using fuzzy optimum for multiple resource - constrained in overlapping network , to determine the roles of the difference resources by fuzzy algorithm theory , then we treatments resources by quasi - shared method , and we will final solution this question about multiple resource - constrained in overlapping network 摘要针对工期固定情况下搭接网络中的多资源优化问题,运用模糊优选理化确定各种资源的重要性,进而对其进行同一化处理,最终解决搭接网络的多资源优化问题。
Aiming at the weakness of being unable to provide numerical value of risk and avoid jamming encountered in the current security evaluation system , this paper presents a quantitative model of network security risk assess system , which is based on fuzzy algorithm and hierarchy 摘要针对网络安全风险评估中人为因素多、指标难以量化的问题,在分析网络安全要素的基础上,将模糊数学的方法运用于网络安全风险评估中,并结合层次分析方法,建立了网络安全风险的模糊层次综合评估模型。