Description: An Ant Colony Algorithm for
Multiuser
Detection in Wireless Communication Systems-An Ant Colony Algorithm forMultiuserDetection in Wireless Communication Systems Platform: |
Size: 151552 |
Author:廖本友 |
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Description: 采用蚁群算法检测图像边缘
This a demo program of image edge detection using ant colony, based on the paper, "An Ant Colony Optimization Algorithm For Image Edge Detection," IEEE Congress on Evolutionary Computation (CEC), pp. 751-756, Hongkong, Jun. 2008. -Ant colony algorithm using edge detection This a demo program of image edge detection using ant colony, based on the paper, Platform: |
Size: 18432 |
Author:zzn |
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Description: 用蚁群算法做图像边缘检测，过程中采用四种核函数用来做分割，最后产生不同结果用来比较。-Using ant colony algorithm to do image edge detection, the course of four kernel function used for partitioning, and finally used to compare different results. Platform: |
Size: 3072 |
Author:mao xin yan |
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Description: This a demo program of image edge detection using ant colony, based on
the paper, "An Ant Colony Optimization Algorithm For Image Edge Detection," 基于蚁群算法的图像边缘检测。IEEE于2008收录的文章.有matlab源程序和“An Ant Colony Optimization Algorithm For Image Edge Detection”这篇PDF文章。希望对大家有一定帮助。-This is a demo program of image edge detection using ant colony, based on the paper, " An Ant Colony Optimization Algorithm For Image Edge Detection," Based on Ant Colony Optimization Image Edge Detection. IEEE in 2008 included in the article. Matlab source code and there is " An Ant Colony Optimization Algorithm For Image Edge Detection" This PDF article. Hope to assist everyone must have. Platform: |
Size: 306176 |
Author:miaosiyi |
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Description: 一种蚁群优化的边缘检测算法，可实现！用matlab编写-An ant colony optimization algorithm for edge detection can be realized! Prepared using matlab Platform: |
Size: 18432 |
Author:jing |
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Description: 《图像配准技术及其Matlab编程实现》一书的Matlab源码，有点检测、线检测、Hough变换、遗传算法、蚁群算法、Powell算法和插值算法等。-"Image Registration and Matlab programming," a book of Matlab source code, a bit detection, line detection, Hough transform, genetic algorithm, ant colony algorithm, Powell algorithm and the interpolation algorithm etc. Platform: |
Size: 345088 |
Author:fzj |
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Description: 基于蜂群算法的图像边缘检测，利用蜂群算法的特点，对图像边界进行快速搜索。-Colony algorithm based on image edge detection algorithm using the characteristics of bees, a quick search on the image border. Platform: |
Size: 229376 |
Author:lili |
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Description: 通过matlab仿真和验证蚁群算法在PCB板检测时路径的优化问题。附带蚁群算法代码以及仿真结果。-Through MATLAB simulation and validation of ant colony algorithm in PCB plate detection route optimization problem.thisfile include ant colony algorithm codes and simulation results. Platform: |
Size: 112640 |
Author:姜伟 |
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Description: 蚁群算法旨在用反复迭代的方法找到目标问题的最优解，通过建立信息素信息对解空间进行的搜索来实现。本程序应用蚁群优化算法进行图像的边缘检测。-The ant colony algorithm is designed with iterative method to find the optimal solution of the target problem, the search of the solution space through the establishment of pheromone. The program application ant colony optimization algorithm for image edge detection. Platform: |
Size: 19456 |
Author:guocheng |
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Description:
此程序是基于蚁群算法的图像边缘检测，matlab 文件，有例图和结果-This procedure is the image edge detection based on ant colony algorithm, matlab file, is illustrated and results Platform: |
Size: 19456 |
Author:dqme525 |
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Description: A moving object detection method based on artificial bee colony algorithm. Moving target detection problem will be converted to the use of independent component analysis
Principle issue, the choice of kurtosis as a criterion for solving signal independent components, the use of artificial bee colony algorithm based on kurtosis objective function to optimize demand
Solutions, through to related methods removed image sequences separated signal components, thus achieving the goal of the movement trajectory successfully extracted. For analog
Moving objects and actual movement of the object image simulation experiments show that the method can detect a clear sequence of images of moving objects trajectory.-A moving object detection method based on artificial bee colony algorithm. Moving target detection problem will be converted to the use of independent component analysis
Principle issue, the choice of kurtosis as a criterion for solving signal independent components, the use of artificial bee colony algorithm based on kurtosis objective function to optimize demand
Solutions, through to related methods removed image sequences separated signal components, thus achieving the goal of the movement trajectory successfully extracted. For analog
Moving objects and actual movement of the object image simulation experiments show that the method can detect a clear sequence of images of moving objects trajectory. Platform: |
Size: 1529856 |
Author:王飞 |
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Search - detection colony