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基于遗传算法的车间布局优化MATLAB源码(Workshop layout optimization based on genetic algorithm on MATLAB .doc)

说明：  自己写的代码，实现了论文"Causal Modeling of Gene Regulatory Network"中的算法，运用了篇相关系数和遗传算法。(My own code, implementation of the paper "Causal Modeling of Gene Regulatory Network", using partial correlation coefficients and genetic algorithm.)

著名的FastICA 算法，最新版本，修改了以前的Bug.(famous Fast algorithm, the latest version, which amended the previous Bug.)

ART1算法,此算法还存在缺陷,有此产生art2 (ART1 algorithm, the algorithm also flawed, produce art2)

non baysian for glass data of uci with median

关于图像的均衡化，绘制图像的灰度直方图，得到均衡化以后的图像(Equalization on the image and draw the image histogram, image obtained after equalization)

用matlab编的kriging插值方法，简单易懂，容易实现，希望交流(Matlab compiled by kriging interpolation method, easy to understand, easy to implement, I hope the exchange)

Mammography is one of the available techniques for the early detection of masses or abnormalities which is related to breast cancer. Breast Cancer is the uncontrolled of cells in the breast region, which may affect the other parts of the body. The most common abnormalities that might indicate breast cancer are masses and calcifications. Masses appear in a mammogram as fine, granular clusters and also masses will not have sharp boundaries, so often difficult to identify in a raw mammogram. Digital Mammography is one of the best available technologies currently being used for the early detection of breast cancer. Computer Aided Detection System has to be developed for the detection of masses and calcifications in Digital Mammogram, which acts as a secondary tool for the radiologists for diagnosing the breast cancer. In this paper, we have proposed a secondary tool for the radiologists that help them in the segmentation and feature extraction process.

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说明：  关于迭代学习算法的简单例程，其中迭代次数可自行更改，次数越高跟随效果越好(example of ILC you can exchange the parameter i_nby yourself it will perform better when the praameter get larger value)