matlab

In this paper, we present two novel class-based weighting methods for the Euclidean nearest neighbor algorithm and compare them with global weighting methods considering empirical results on a widely accepted time series classification benchmark dataset. Our methods provide higher accuracy than every global weighting in nearly half of the cases and they have better overall performance. We conclude that class-based weighting has great potential for improving time series classification accuracy and it might be extended to use with other distance functions than the Euclidean distance.

this program is made in matlab for executing

矢量控制的直接转矩的仿真图，使用版本matlab2010a，程序可以用(simulink of matlab)

基于libsvm的支撑向量机的回归问题。基本应用和结果(Libsvm based support vector machine (SVM) regression problems.Basic and application results)

稀疏信号分解利用匹配追踪算法，主程序+调用函数(Sparse signal decomposition, the main program calls the function+)

样本熵的matlab源代码，可以求出样本的熵值(Sample Entropy)

用于求解半线性椭圆问题的瀑布型多网格算法，可以求解到很高的精度，(Used to solve semi-linear elliptic problem Falls Multi-grid method, you can solve to a high precision,)

用matlab仿真汉明码，用matlab仿真汉明码，用matlab仿真汉明码(Hamming code with matlab simulation with matlab simulation Hamming codes, Hamming code with matlab simulation)

synchronisation impulsive satllite

书中通过大量实例，介绍了如何利用遗传算法工具箱函数编写matlab程序，解决实际问题(Through a large number of examples in the book, introduces how to use genetic algorithm toolbox function. Write the matlab program to solve the actual problem )