mallatChongou

双向协作通信的中断概率仿真，结果和《Performance Analysis of Two-Hop Relayed Transmissions over Rayleigh Fading Channels》里面的结论完全一样。可以得到三幅图。(Two-way collaborative communication outage probability simulation， results and 《Performance Analysis of Two-Hop Relayed Transmissions over the Rayleigh Fading Channels 》，the conclusion is exactly the same. You can get three in Fig.)

SVM回归，用于实现支持向量机（SVM ）回归拟合的问题。可以用来做一些短期的预测，如短期负荷预测。(svm regression, used to implement support vector machine (SVM ) Regression fitting problems. Can be used to do some short-term forecasts, such as short-term load forecasting.)

说明：  matlab实用程序教程，里面包含100个实用编程，可帮助初学者轻松入门matlaB(tutorial matlab utility, which contains 100 practical program that can help beginners get started matlaB)

功率谱估计的快速APES算法，其缺损形式GAPES对于分辨率提高有好处.(Fast APES algorithm for power spectral estimation, the of its defects form of GAPES good resolution improves.)

轴承故障诊断，经验模态分解，采用切片双谱(Bearing fault diagnosis, empirical mode decomposition, using slices bispectral)

在时间上使用隐式有限差分法，空间上使用后向差分法，对耦合波方程组离散化，进而对受激布里渊散射的能量反射率和产生SBS的阈值能量进行数值模拟。(Begin with the coupled wave equations which describe the interactions of the pump, the sound and the Stokes wave in the process of SBS. The equations are simplified according practical conditions, and one-dimension theoretical models are obtained aiming at unfocused pump as well as focused pump. The coupled equations are turned discrete using the method of implicit finite difference in terms of time and backward difference in terms of space.)

用于随机值脉冲噪声去除的新方法，提出了一种新的脉冲噪声检测机制，结合保边缘的变分去除方法，得到了很好的效果(The new method for the removal of impulse noise of the random value, a new impulse noise detection mechanism, combined with the security edge of Variational removal method to obtain a good effect)

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用于重合闸分析计算 明白重何在的原理和仿真计算(For the reclosing weight What is the principle and simulation analysis to understand)

As significant work was done in machine learning in past two decades, we have limited to recent articles in machine learning. A brief review of machine learning and its application can found in [Duttion and Conroy,1996). The most common supervised learning method and major implementation to various machine learning applications is artificial neural network as ANNs.