matlabtuxiangchulihehuidubianhuan

对MATLAB编程以及数值算法的简介，英文原版电子书(An Introduction to Programming and Numerical Methods in MATLAB)

一个详尽的算术编码的matlab仿真程序。 (In this program set, two types of arithmetic coding has been implemented. 1) Arithmetic Coding with Scaling To implement this method 4 programs has been used in the set. The programs are a) arithscale.m b) probmodel.m c) arithscalecod.m d) arithscaledecod.m To test the program two text files are given with names seq.txt and seq1.txt. 1) Integer Arithmetic Coding To implement this method 4 programs has been used in the set. The programs are a) arithint.m b) countmodel.m c) arithintcod.m d) arithintdecod.m To test the program two text files are given with names seq.txt and seq1.txt. )

simulation of one stage DIFM in matlab

sliding mode control 5

一个完整的EMD程序，附带了G Rilling的附件，适合新手学习使用。(A complete EMD procedures, suitable for novice learning to use.)

说明：  基于MATLAB的dv-hop（distance vector routing）算法的实现(Based on MATLAB-dv-hop (distance vector routing) Algorithm)

In this paper, we introduce a new machine-learning-based data classification algorithm that is applied to network intrusion detection. The basic task is to classify network activities (in the network log as connection records) as normal or abnormal while minimizing misclassification. Although different classification models have been developed for network intrusion detection, each of them has its strengths and weaknesses, including the most commonly applied Support Vector Machine (SVM) method and the Clustering based on Self-Organized Ant Colony Network (CSOACN). Our new approach combines the SVM method with CSOACNs to take the advantages of both while avoiding their weaknesses. Our algorithm is implemented and evaluated using a standard benchmark KDD99 data set. Experiments show that CSVAC (Combining Support Vectors with Ant Colony) outperforms SVM alone or CSOACN alone in terms of both classification rate and run-time efficiency.

说明：  BP网络是通过输入层到输出层的计算来完成的。多于一层的隐含层虽然能在速度上提高网络的训练,但是在实际应用中需要较多的训练时间,而训练速度可以用增加隐含层节点个数来实现,因此在应用BP神经网络进行预测时,选取只有一个隐含层的三层BP神经网络就足够了。(The BP network is completed through the calculation of the input layer to the output layer. Although the hidden layer of more than one layer can improve the training of network in speed, more training time is needed in practical application, and the training speed can be realized by increasing the number of hidden layer nodes. Therefore, when the BP neural network is used to predict, the three layer BP neural network with only one hidden layer is sufficient.)

pso optimmization matlab codes

Multiband descomposition and recomposition with directional ideal filter.