MadaProgramme

1.Fisher分类算法 2.感知器算法 3.最小二乘算法 4.快速近邻算法 5.K-近邻法 6.剪辑近邻法和压缩近邻法 7.二叉决策树算法(1.Fisher Classification Algorithm 2. Perceptron algorithm 3. Least-squares algorithm 4. Fast nearest neighbor 5.K-neighbor method 6. Clips neighbor neighbor method and compression method 7. Binary Decision Tree Algorithm)

说明：  用于计算顺序消元解线性矩阵方程(Used to calculate the order of elimination solution of linear matrix equation)

光滑比的检验，用于灰色预测模型的建立过程，如果数据达不到要求，就不能用来预测(to exam it whether smooth or not)

实现最小二乘支持向量机编程，训练样本有97个，测试样本10个，还带自身的sig2和gam的优化(Realization of least squares support vector machine programming, there are 97 training samples, 10 samples tested, but also with their own gam sig2 and optimization)

D2D的自适应链路仿真，可根据信道状况，自选自调制方式(novel link adaptation of D2D cluster multicast)

分形维数计算的毯子算法matlab代码,混沌的判断指标Lyapunov指数计算,车牌识别定位程序的部分功能。( Fractal dimension calculation algorithm matlab code blankets, Chaos indicator for Lyapunov index calculation, Part of the license plate recognition locator feature.)

数据挖掘领域中的一种算法－ML-KNN是一种改进的最近邻算法(Data Mining in the area of an algorithm-ML-KNN is an improved nearest neighbor algorithm)

Hello world application. This application automatically prints "Hello World"

电动汽车燃料电池simulink仿真模型，用于电动汽车或者混合动力汽车的仿真模型(Simulink simulation model of the electric vehicles fuel cells for electric vehicle or hybrid vehicle simulation model)

说明：  bp神经网络用于回归的matlab程序，修改数值就可适用(bp neural network for regression matlab procedures can modify the application of numerical)