matlab

matlab 学习matlab的一个好例子(Matlab learning Matlab a good example)

Cooperative Communications for Cognitive Radio Networks — From Theory to Applications

该协议是LEACH的改进，思想是：为了延长网络的生命周期，节点只需要和她们最近的邻居之间进行通信。节点与汇聚点间的通信过程是轮流进行的，当所有节点都与汇聚点通信后，节点间再进行新一回合的轮流进行的。由于这种轮流通信机制使得能量消耗能够统一的分布到每个节点上，因此降低了整个传输所需要消耗的能量。(The agreement is LEACH improvement idea is: To prolong the network lifetime, and between nodes only need to communicate with their nearest neighbors. Communication process between the node and the focal point is in turn carried out when all the nodes are associated with the convergence point communication between nodes then turns a new round of. Due to this rotation so that the energy consumption of the communication system on each node to the uniform distribution, thus reducing the energy consumption required for the transmission.)

matlab学习matlab学习matlab学习(matlab study)

梯度下降法的matlab版本实例,带收敛轨迹图。(the steepest descent algorithm with matlab )

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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.

利用拉普拉斯变换的思想，通过对数据进行差分，近似得到拉普拉斯变换后的结果，然后检查正负交换的位置，则此为极值点位置，利用此思想得到极值点的位置。(Using the ideas of Laplace transform of the data by the difference approximation get results Laplace transform, and then check the position of the positive and negative exchange, this is the extreme position, take advantage of this thinking of getting extreme points location.)

线性规划的程序，能够解决显性规划问题，应用于实际中(Linear programming the main program, to solve the issue of explicit planning)

基于MATLAB的遗传算法工具箱，英国Sheffield大学推出的，内容上覆盖GAOT，影响较广，较为完备。( Genetic algorithm toolbox based on matlab was developed by Sheffield University of UK.Because its content covered GAOT, it is used widely.)