homework1

MATLAB7_0基础教程_清华大学 希望需要的朋友自己看看哦 matlab是我们重要的工具~！(_ Tsinghua University tutorial basic MATLAB7_0 hope to see their own friends required Oh matlab are important tools for us ~!)

利用matlab的ann工具箱进行电力负荷预测，pdf文档里面有相应的程序(Ann use matlab)

包括：三种LMS算法实现AR(2)的预测，法2、3用递推计算Km,两者区别在于d(n)的取法略微不同；用LSL和FTF算法实现简单的系统辨识。(Include: three LMS algorithm AR (2) the forecast, France 2,3 calculated with recursion Km, whichever is the difference between d (n) of a slightly different取法 LSL and the FTF algorithm with simple system identification.)

Zero-forcing equalizer

利用分步傅里叶法求解光纤中脉冲传输的非线性薛定谔方程。(Solves the NLS equation with the split-step method.)

Series Z source inverter

里面包含多种综合评价方法，如层次分析法、模糊综合评判、基于可拓学的综合评价方法、数据包络分析法、TOPSIS分析法、熵权法以及人工神经网络分析法(It contains many comprehensive evaluation methods, such as analytic hierarchy process, fuzzy comprehensive evaluation, extension-based comprehensive evaluation method, data envelopment analysis method, TOPSIS analysis method, entropy weight method and artificial neural network analysis method.)

该程序能够求解任一节点的电力系统的节点导纳矩阵，是一种通用的方法。(The program can solve any node of the power system nodal admittance matrix, is a common method.)

一个学习Naive Bayes的matlab代码，学习到的参数只与样本的个数有关，与实际的样本值没有直接关系。 为了代码的可读性、容易学些，算法的实现没有采用MATLAB向量化 操作。(A Naive Bayes learning matlab code, only to learn the parameters related to the number of samples, and the actual sample values ​ ​ are not directly related. For code readability, easy to learn something, no algorithm using MATLAB vectorized operations.)

对于周期图的功率谱估计,当数据长度N太大时,谱曲线起伏加剧, 若N太小,谱的分辨率又不好,因此需要改进。两种改进的估计法是 平均周期图法和平滑平均周期图法。Bartlett法:Bartlett平均周期图 的方法是将N点的有限长序列x(n)分段求周期图再平均。(For the power spectrum estimation of the periodogram, when the data length N is too large, the spectral curve fluctuation intensifies,   If N is too small, the spectral resolution is not good, so need to be improved. The two improved estimates are   Average Period Graph and Smooth Mean Period Graph. Bartlett method: Bartlett average cycle chart   Is to re-average the finite-length sequence x (n) of N points by periodogram.)