SVM-code

中马尔可夫的经典例子 看了这个就会懂了 (markov)

波的合成和牛顿环的动画演示，有利于对光学现象的认识(Wave synthesis and animation of the Newton ring is conducive to the understanding of optical phenomena)

In this paper, we introduce a new machine-learning-based data classification algorithm that is applied to network intrusion detection. The basic task is to classify network activities (in the network log as connection records) as normal or abnormal while minimizing misclassification. Although different classification models have been developed for network intrusion detection, each of them has its strengths and weaknesses, including the most commonly applied Support Vector Machine (SVM) method and the Clustering based on Self-Organized Ant Colony Network (CSOACN). Our new approach combines the SVM method with CSOACNs to take the advantages of both while avoiding their weaknesses. Our algorithm is implemented and evaluated using a standard benchmark KDD99 data set. Experiments show that CSVAC (Combining Support Vectors with Ant Colony) outperforms SVM alone or CSOACN alone in terms of both classification rate and run-time efficiency.

solving TSP using Hopfield Neural Network

This matlab code implements region growing image segmentation.

performance description for codes in LTE applications

主要绘制了牛顿环的光强分布图，光强可在透射与反射箭转换。(The main draw of the Newton ring of light intensity distribution, light intensity can be converted in the transmission and anti-archery.)

This program allows you to analyze the size of grains in a micrograph with the intersection method arranged in a user-friendly GUI.(grain and particle analysis with line intersection method)

Design, Fabrication and Characterization of III-N Based Solar Cells

聚类小生境遗传分类算法Cluster niche genetic classification algorithm(Cluster niche genetic classification algorithm)