Entropic

In this paper, we study cost-sensitive semi-supervised learning where many of the training examples are unlabeled and different misclassification errors are associated with unequal costs. This scenario occurs in many real-world applications. For example, in some disease diagnosis, the cost of erroneously diagnosing a patient as healthy is much higher than that of diagnosing a healthy person as a patient. Also, the acquisition of labeled data requires medical diagnosis which is expensive, while the collection of unlabeled data such as basic health information is much cheaper

高压直流输电模型，12脉动，可用于仿真分析(high voltage direct current, matlab model, 12 pulse, for the simulation and analysis)

基于导频的ofdm信道估计算法研究，包括基本的算法思想和解决步骤(Based on the pilot channel estimation algorithm for ofdm research, including the basic ideas and algorithms to solve these)

小世界网络模型源代码，介绍小世界网路模型原理，实现代码和在pajek中实现仿真(Small world model code)

车牌识别源程序，可以识别很多角度，很好的呀(License plate recognition source code, you can identify in many ways)

Big Bang-Big Crunch algorithm for optimization problems.

用matlab进行平动点轨道的绘制，halo轨道绘制，三维曲线(Libration point orbit of halo rendering, 3D curve)

模糊神经网络的源代码，最近在学习这方面的知识，共享一下，初学者可以看看(Fuzzy neural network source code)

实现Lorenz混沌的simulink 程序。利用matlab的模块设计，可以很好的实现lorenz混沌。(Simulink realization of Lorenz chaotic process. Using matlab modular design, can achieve a good lorenz chaotic.)

svm参数优化方法，网格算法，可修改迭代次数等参数(svm parameter optimization method, the mesh algorithms can modify parameters such as the number of iterations)