LMS_1D

遗传算法及其改进(Genetic algorithm and its improvement)

、改写例程，编制用Fisher线性判别方法对三维数据求最优方向W的通用函数。 2、对下面表3-1样本数据中的类别ω1和ω2计算最优方向W。 3、画出最优方向W的直线，并标记出投影后的点在直线上的位置(Rewriting routine, the preparation of Fisher linear discriminant method using three-dimensional data on the direction of seeking the best general-purpose function of W. 2, for the following sample data in Table 3-1 in the categories of ω1 and ω2 to compute the optimal direction of W. 3, draw the best straight line the direction of W, and mark out the projection of the points in a straight line after the location of)

说明：  CATIA V5创成式工程图设计官方文档，总共490页，很好的学习帮助(CATIA V5 generative drawing style design)

聚类算法聚类算法聚类算法聚类算法聚类算法聚类算法聚类算法(Generalized neural network-based intrusion cluster analysis Generalized neural network-based intrusion cluster analysisGeneralized neural network-based intrusion cluster analysisGeneralized neural network-based intrusion cluster analysis)

主要是利用归一化的方法进行位场边界识别，利用导数与周围最大值的比值来进行。(Mainly using the method of normalized potential field boundary identification, the use of derivative and the ratio of maximum to be around.)

MATLAB函数大全，想学习MATLAB同学这是一大福利哦(MATLAB function Daquan, the students want to learn MATLAB Oh, this is a big benefit)

说明：  通过分析交通流量时间序列的特点，引入BP神经网络进行短时交通流预测。首先，分析了短时交通流量预测的意义及研究背景；然后，介绍了BP神经网络的结构模型、学习规则以及BP算法的改进算法；最后，通过BP神经网络对短时交通流进行预测，并分析了在各种不同条件下的预测情况。(through the analysis of the characteristics of traffic flow time series, introduces BP neural network for short-term traffic flow prediction. First of all, it analyzes the significance of short-term traffic flow prediction and research background. And then, it has discussed the model and structure, the study rule and the improved algorithm of BP neural network. Finally, by BP neural network to forecast the short-term traffic flow, it analyzes under different conditions of the neural network prediction.)

说明：  Function files in MATLAB for calculation of laminate engineering constants for a multidirectional laminate consisting of plies with known values of material data in the principal material directions, known fiber orientations and known ply coordinates.

三次样条插值算法，能够实现数据的分段插值，拟合精度较高，曲线也比较光滑(Cubic spline interpolation algorithm to achieve the piecewise interpolation of the data, the fitting accuracy is higher, the curve is relatively smooth)

可以计算不同雷洛系数下的紊流,非常方便!(The main code can compute different turbulence Venturello coefficients, very easy!)