DC-DC-AC

ROSSLER方程的混沌时间序列相空间重构程序(Equation ROSSLER chaotic time series phase space reconstruction procedure)

7.1　简单数字滤波器的MATLAB辅助设计和分析方法7.2　微机继电保护算法的MATLAB辅助设计和分析方法7.3　输电线路距离保护的建模与仿真7.4　Simulink在变压器微机继电保护中的应用举例7.5　输电线路故障行波仿真举例 (7.1 Simple digital filter MATLAB-aided design and analysis methods 7.2 microcomputer relay protection algorithm MATLAB-aided design and analysis methods 7.3 Transmission Line Distance Protection 7.4 Simulink modeling and simulation of the transformer relay protection Application Examples 7.5 Transmission Line Examples traveling wave fault simulation)

硬件工程师手册(全) 硬件工程师手册(全) 硬件工程师手册(全)(Hardware Engineer Manual (full) Hardware Engineers Handbook (full))

说明：  对于曲线拟合以及插值的详细MATLAB程序，对于数学建模的学生很有帮助(For details of curve fitting and interpolation MATLAB program is helpful for students with mathematical modeling)

此程序为凸优化算法，采用了最新的凸优化工具箱CVX(This program is a convex optimization algorithm, using the latest CVX convex optimization toolbox)

在原始的 fcm 算法基础上，对算法中的聚类数 c 和加权指数 m 给出优选方法， 进而而出了 fcm 参数优选自适应算法，通过人造数据与具有实际背景的数据验证可以看出 该算法是有效的，该算法不但可以自适应的给出最佳的聚类数，而且可以验证聚类的有效性， 达到最佳聚类的目的(Fcm algorithm in the original, based on the number of clustering algorithms and the weighted index m given c preferred method, and then out of the fcm parameter optimization adaptive algorithm, synthetic data and practical background in data validation can be seen that the algorithm is effective, the adaptive algorithm can not only give the best number of clusters, and clustering can verify the validity of the purpose to achieve the best clustering)

神经网络修改BP辨识算法，用于辨识复杂的非线性系统，相对传统BP算法，具有计算快等优点(Modify BP neural network recognition algorithm for identification of complex nonlinear system, compared to the traditional BP algorithm has the advantages of quick calculation)

Complete Parallel Port Development. Covers all PP standards.

说明：  基于MVITCC算法的聚类方法，该算法与其他聚类相比提高一定准确率和灵敏度(The clustering method based on mvitcc algorithm can improve the accuracy and sensitivity compared with other clustering methods)

DSB,输入信号和输出信号的MATLAB仿真(DSB, the input and output signals of MATLAB simulation)