Rongekutta

一本很好学习神经网络和其MATLAB实现的书籍.(A very good study MATLAB neural network and its implementation books.)

在网络异常检测中,为了提高对异常状态的检测率，降低对正常状态的误判率,本文提出一种基于量子粒子群优化算法训练小波神经网络进行网络异常检测的新方法。利用量子粒子群优化算法(QPSO)训练小波神经网络,将小波神经网络(WNN)中的参数组合作为优化算法中的一个粒子,在全局空间中搜索具有最优适应值的参数向量。( In order to improve the detection rate for anomaly state and reduce the false positive rate for normal state in the network anomaly detection, a novel method of network anomaly detection based on constructing wavelet neural network (WNN) using quantum-behaved particle swarm optimization (QPSO) algorithm was proposed. The WNN was trained by QPSO. )

System will automatically delete the directory of debug and release, so please do not put files on these two directory.

利用stft实现了跳频信号的跳周期估计 简单的进行了跳频信号的仿真，然后利用短时傅里叶变换对跳频信号进行分析，再对得到的时频矩阵提取时间平面，对时间序列去直流，进行傅里叶变换，最后实现得到跳周期。(estimates the hopping time of the sfh by stft )

对H矩阵进行高斯消元，另外附加了高斯消元的论文(The H matrix using the Gauss elimination, an additional Gauss elimination of papers)

this is matlab code for noise estimation

File with compression factor of the particle swarm algorithm, the weight to improve particle swarm optimization, adaptive weighting method, the random weighting method, particle swarm optimization variable learning factor, learning factor of asynchronous change, the second-order particle swarm optimization, second-order oscillating particle swarm algorithm, chaotic particle swarm optimization, hybrid particle swarm optimization, hybrid particle swarm optimization, simulated annealing algorithm

ELM算法是一种新型的学习算法，速度较快，误差小，目前研究较多的一种算法，提供的是多输出回归问题的ELM算法的matlab实现。(ELM algorithm matlab realize)

This is other m file for research

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