A novel fuzzy clustering method based on chaos immune evolutionary algorithm ( ciefcm ) was proposed to solve fuzzy edge detection problems in image processing 摘要针对图像处理中的模糊边缘检测问题,提出一种混沌免疫模糊聚类算法。
For the detection problem in chaotic noise ( clutter ) , this paper presents to use the rbf neural network to solve it . analysis of the algorithm is given out 全针对混沌杂波中的信号检测问题,基于神经网络具有的拟和任意非线性函数的能力,建立了混沌系统的神经网络模型。
Good experiment results show that our algorithm is robust enough to solve the delocalization and false detection problem . and at the same time , our algorithm also gives high repeatability 实验表明,该算法具有很高的兴趣点重复度,并很好地解决了以往算法的点位置偏差和误检问题。
The main contents of this thesis are as follows : ( 1 ) to begin problem i , several models are established to describe the maneuvering target . and then maneuvering detection problem is discussed 主要包括以下内容: ( 1 )针对高炮防御的对象,本文建立了适合描述不同机动目标的运动模型及检测目标机动的算法。
The experiment results of multiuser detection problem show that both of the proposed methods not only have simpler algorithm structure , but also perform better than conventional qea and bpso in terms of ability of global optimum 通过对多用户检测问题的求解表明,新的算法不仅操作更简单,而且全局搜索能力有了显著的提高。