incercare2

最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法最小二乘算法(LS)

PCA算法。PCA的目的是找到能够分离出最大方差的方向，所以首先求原来所有数据三个维度上的协方差，然后求这个协方差的特征值，最大特征值为第一个方向，从此以此类推。(PCA algorithm. The purpose of PCA is to find able to isolate the direction of maximum variance, so first find all the data in three dimensions on the original covariance, and then find the eigenvalues ​ ​ of the covariance, the biggest feature is the first in one direction, from and so on.)

用一个仿真实例来说明子空间辨识算法下的Matlab程序设计结构(Akiko is a simulation example the design of the structure of space identification algorithm in Matlab)

常微分方程组的两种解法--打靶法和配置法(two numerical methods of odes)

MATLAB电机仿真精华50例,源代码。包括直流电机，同步电机，异步电机的经典仿真。(MATLAB motor simulation essence of 50 cases, the source code. Classic DC motor, synchronous motor, induction motor simulation.)

层析分析法模型，能实现评价权重的确定，并进行一致性检验(AHP-Analytic Hierarchy Process)

DP Mixture Model基于 FullBNT-1.0.4上的一个开发实例，添加路径即可运行(DP Mixture Model is based on a development instance FullBNT-1.0.4, add the path to run)

随机生成数【matlab例程】经典算法直接应用方便快捷(Random number generator convenient [] classical algorithm matlab routines directly applied)

Ant Colony Optimization (ACO) is a paradigm for designing metaheuristic algorithms for combinatorial optimization problems. The first algorithm which can be classified within this framework was presented in 1991 [21, 13] and, since then, many diverse variants of the basic principle have been reported in the literature. The essential trait of ACO algorithms is the combination of a priori information about the structure of a promising solution with a posteriori information about the structure of previously obtained good solutions.

本程序实现LPP降维功能，用于多模态故障诊断中(This procedure realize the LPP dimension reduction function, used in multimodal fault diagnosis )