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BP算法在单相逆变电源无差拍控制中的应用(BP algorithm in single-phase inverter deadbeat control of)

无标度复杂网络代码，可直接运行！根据参数设定，生成预期网络结构！(Scale-free complex network code can be run directly! According to parameter setting to generate the expected network!)

LTE下行链路的仿真程序，可以运行，已经运行过了。(LTE downlink simulation program, you can run, has been run before.)

matlab基本语法，对初学者非常有帮助(matlab basic syntax is very helpful for beginners)

已知微分方程某某，讨论极限环。在matlab环境下运行(Certain differential equations are known to discuss the limit cycle. In the run under matlab)

protect digital images using secure hash

极限学习机（extreme learning machine）ELM是一种简单易用、有效的单隐层前馈神经网络SLFNs学习算法。2006年由南洋理工大学黄广斌副教授提出。传统的神经网络学习算法（如BP算法）需要人为设置大量的网络训练参数，并且很容易产生局部最优解。极限学习机只需要设置网络的隐层节点个数，在算法执行过程中不需要调整网络的输入权值以及隐元的偏置，并且产生唯一的最优解，因此具有学习速度快且泛化性能好的优点。(Extreme Learning Machine (extreme learning machine) ELM is an easy-to-use and effective single hidden layer feedforward neural network the SLFNs learning algorithm. 2006 by the Nanyang Technological University Associate Professor Huang Guangbin. Traditional neural network learning algorithm (BP) artificial network training parameters, and it is easy to generate a local optimal solution. Extreme Learning Machine network only need to set the number of hidden nodes, the algorithm implementation process does not need to adjust the network input weights and hidden element of bias, and only optimal solution, so the learning speed and generalization good performance advantages.)

1/f噪声采用多分辨分析进行参数提取，并波形恢复(1/f noise analysis using multi-resolution parameter extraction and waveform recovery)

Learn how to install and use MPLAB ICD2 and MPLAB IDE in your computer

This is a paragraph on the calculation of current harmonic content of M documents, using MATLAB implementation, high accuracy.