Dynamic Programming 10 units 24 hours

非线性多分辨率信号的分解，论文及matlab代码(Non-linear multi-resolution signal decomposition, papers and matlab code)

说明：  ar模型，多项式乘法，潮流计算，NSGA，场景削减的MATLAB编程代码(ar model, polynomial multiplication, flow calculation on NSGA, the scene cuts MATLAB programming code)

说明：  将白噪声和瑞丽分布的噪声模拟为信号的背景噪声，分别通过小波去噪，EMD去噪，EMD结合小波去噪的方法来进行背景噪声去噪分析。(Ruili, the distribution of white noise and the noise modeled as background noise signals, respectively, through the Wavelet denoising, EMD denoising, EMD combined with wavelet denoising approach to denoising of background noise.)

做皮带运输系统模拟，在干扰下如何实现皮带平稳控制，其中解微分方程组常用数值解法即龙格法.(Belt transportation system simulation disturbance belt under steady control, including commonly used numerical methods of solving differential equations-Runge method)

Cordicc implementation using MATLAB to calculate sin cosine function also convert form polar to cartessia or cartessian to polar(this is a cordic implementation using matlab to compute sin cosine also transfer polar to cartessian vice versa)

robotmatlab 机器人功能工具箱(it‘s robot)

自适应K-均值聚类算法,能够随着聚簇数目的变化而自动调整聚类数，以最合适的聚簇数目来进行数据分类。(Adaptive K-means clustering algorithm, the number can be clustered with the changes in the number of clusters is automatically adjusted to the most appropriate number for clustered data classification.)

此算法是基本聚类算法，经过验证，此算法很很好的运行。对于初学聚类者来说，此算法很有用(This algorithm is a basic clustering algorithm, after verification, the algorithm runs very good. Clustering for learning are concerned, this method is very useful)

基于浮点数编码的多目标遗传算法，运行环境为matlab.(Multi-objective genetic algorithm based on floating-point encoding，Operating environment for matlab.)

This work proposes two novel optimization algorithms called Salp Swarm Algorithm (SSA) and Multiobjective Salp Swarm Algorithm (MSSA) for solving optimization problems with single and multiple objectives. The main inspiration of SSA and MSSA is the swarming behaviour of salps when navigating and foraging in oceans. These two algorithms are tested on several mathematical optimization functions to observe and confirm their effective behaviours in finding the optimal solutions for optimization problems.