用于自适应盲均衡的自适应变模SCA算法,具有良好的性能.

this is program for amplitude shift keying

非平衡数据集的分类问题经常出现在许多实际应用中.支持向量机在处理这一类问题时,整体分类性能比较低.为此,Veropoulos提出的采用不同惩罚系数的改进算法可以较好的解决此类问题.此外,可以利用序列最小优化算法简单快速的解决上述优化问题.(Non-equilibrium data sets classification problems often appear in many practical applications. Support Vector Machine in dealing with this type of issue, the overall classification performance is relatively low. To this end, Veropoulos proposed punishment coefficient using different algorithms can improve the better solution such issues. In addition, can use the Sequential Minimal Optimization algorithm is simple and fast solution to the above optimization problem.)

基于BP神经网络实现车牌的识别，用MATLAB编写的(BP Neural Netwok , Recognition License Plate ，Matlab)

Simple dynamic ode model describes a nutirition food web in a lake.

基于simulink编写的燃料电池并网模型(Prepared based on simulink model of a fuel cell and network)

gui...creation with buttons

Autoassociative Memory performance with and without pseudoinverse weight matrix

本文档是电力电子技术计算机MATLAB仿真实验，是学习电力电子MATLAB的好帮手(Power electronic technology computer MATLAB simulation experiment)

模态置信准则用于评价模态分析得到的振型的质量，或者用于比较两个向量之间相似度(Modal Assurance Criterion(MAC) is used to evaluate the quality of mode shapes of modal analysis or the similarity of two vectors.)

(不错的一篇文章，已被EI收录)模型预测控制（model predictive control，MPC）路径规划算法适用于三维动态环境下的无人机（un-manned aerial vehicle，UAV）路径规划；动态贝叶斯网络（dynamic Bayesian network，DBN）能够有效推理战场态势，对无人机进行威胁评估。针对威胁尾随无人机时的路径规划问题，构建 DBN 威胁评估模型，将 UAV 在战场环境中的威胁态势用威胁等级概率表示，与 MPC 路径规划算法相结合，得到基于 DBN 威胁评估的 MPC UAV 路径规划算法。通过多组仿真分析表明，在三维动态环境下，特别是威胁尾随无人机时，基于 DBN 威胁评估的 MPC无人机路径规划算法可以得到有效的无人机路径。(The model predictive control (MPC)path planning algorithm can solve the problem of dynamic unmanned aerial vehicle (UAV)path planning.Dynamic Bayesian network (DBN)is an effective tool for rea-soning and threat assessment.Considering the problem of path planning when the dynamic threat tags the UAV,the MPC path planning algorithm combined with DBN threat assessment is presented,which used the threat lever probability to describe the threat situation.A group of simulations demonstrate the efficiency of MPC three-dimensional dynamic path planning algorithm for UAV based on DBN threat assessment especially when the dynamic threat tags the UAV.)