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模糊控制，变电站电压无功控制的matlabsimulink模型(Fuzzy control, substation and reactive power control model of matlabsimulink)

Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model.

萤火虫算法（Firefly Algorithm）是一种群智能优化算法，它是英国的学者在2008年提出的，其本质是利用萤火虫在觅食和信息交汇中的一种仿生算法。( Firefly Algorithm (Firefly Algorithm) is a swarm intelligence optimization algorithm, which is a British scholar proposed in 2008, and its essence is to use the firefly in the convergence of information and foraging in a bionic algorithm.)

标准粒子群算法求解非线性方程，用MATLAB实现，并出仿真结果(The standard particle swarm algorithm for solving nonlinear equations, using MATLAB to achieve, and the simulation results)

MATLAB图像配准源程序,初学者一起研究.图像配准的程序，在网上流传很多，本人把能找到的都打包.(MATLAB source image registration, novices together. Step one, calculated to be scale-space image registration and to obtain scale-space Harris corner step 2, using affine shape modification technology scale Harris corner points of space iterative processing step three of the feature point matching method using the descriptor and matching to achieve registration by matching)

回归分析 很详细有各种例子及matlab代码和运行结果图 (Regression analysis in great detail a variety of examples and matlab code and operating results Figure)

说明：  集群程序，matlab，分布式计算引擎。startjobmanager,startworker(Cluster program, matlab, distributed computing engine. startjobmanager, startworker)

QPSK系统的simulink仿真，包括PCM编码、误码率统计以及星座图显示(Simulink simulation of the QPSK system, including PCM coding, bit error rate statistics and the constellation graph display)

训练错误率和交叉验证错误率相等，在样本比较大时，这个结果是可以预期的；训练错误率一般低于测试错误率，但是当样本数据比较少时，实验也出现了意外，样本多的那组测试错误率比样本少的训练错误率还要小；在本实验中，同组数据的交叉验证错误率比独立测试错误率高，这个反常现象是因为样本的原因所致，交叉验证的样本小，而独立测试时所用训练样本数目大，因而出现这种情况。分类线上，fisher准则是一条直线，而贝叶斯分类器实际上是一个类似椭圆的封闭曲线；很明显，贝叶斯分类器比fisher分类器要好。(Training error rate and cross- validation error rates are equal, the larger the sample , this result is to be expected training error rate is generally lower than the test error rate , but when comparing the sample data came from the experiment there was an accident, that more samples group test error rate less than the training sample error rate is smaller In this experiment, the same set of data cross-validation error rate than independent test error rate, this anomaly is because the sample of reasons , cross-validation sample is small,And independent testing large number of training samples used , resulting in this situation.Classification online , fisher criterion is a straight line , while the Bayesian classifier is actually a closed curve similar to elliptical It is clear that the Bayesian classifier is better than the fisher classifier .)

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