parta.fig

学习线性分类器，可以自动识别两类数据点，数据点可以有交叉域，或者没有，共使用了三种方法。(Learning the self-learning process of linear classifier, and then design a linear two-class classifier and do some research based on the feature of linear classifier.)

关于在火电单元机组中神经网络预测控制的论文,有仿真,(On the thermal power unit in the neural network predictive control of the paper, there are simulation,)

说明：  matlab关于扩展卡尔曼的源程序，有不足之处还请多多指教(matlab on the extended Kalman of the source, there are also shortcomings to a lot of advice)

房价的指数拟合，二次式项式拟合，二元线性回归(matlab regress)

机器人控制系统的设计与Matlab仿真 源代码(The design of the robot control system and Matlab simulation)

基于信道的历史信息来预测不同信道的未来可用时间可以帮助CR选择一个最佳信道进行信息传递。不同的预测准则应用到周期或是随机的开关模式中。一个CR可以学习以往不同信道的模式。我们提出一个简单的分类和学习方法去检测模式的类型和收集需要的信息用于智能信道的选择。MATLAB仿真结果显示提出的方案在随机信道的随机和周期模式中都有优越的表现。随着时间的变化，新到的切换次数减少到55 ，并且延迟时间也相应减少，而吞吐量却在提高。(Prediction of future availability times of different channels based on history information helps a cognitive radio (CR) to select the best channels for control and data transmission. Different prediction rules apply to periodic and stochastic ON-OFF patterns. A CR can learn the patterns in different channels over time. We propose a simple classification and learning method to detect the pattern type and to gather the needed information for intelligent channel selection. Matlab simulations show that the proposed method outperforms opportunistic random channel selection both with stochastic and periodic channel patterns. The amount of channel switches needed over time reduces up to 55 , which reduces also the delay and increases the throughput.)

此算法是Otsu提出的最大类间方差法，利用matlab进行分割图像(This algorithm is proposed by Otsu Otsu method, used to segment image in matlab)

高斯混合模型K均值算法matlab源程序用于说话人识别中(Gaussian mixture model K-means algorithm matlab source code for speaker recognition)

典型相关随机森林算法，随机森林算法的改进(Typical correlation Random Forest algorithm)

在matlab编译环境下，下实现迪杰斯特拉算法。 程序鲁棒，速度较快。(the implementation of Dijstla algorithm)