Matlab-Apf

this programme define a circuit-based simulation model for a PV cell in order to allow estimate the electrical behavior of the cell with respect changes on environmental parameter of temperature and irradiance

此为机器人模糊控制中的模糊控制规则，在模糊控制中加入此模糊控制规则，可得到仿真(This is the robot fuzzy control fuzzy control rules, fuzzy control fuzzy control rules by adding this can be obtained simulation)

求解马尔科夫过程的一个过程，输入转移强度矩阵后，可以求得状态概率(A process of solving Markov process, the intensity of the input transfer matrix, we can obtain the state probability)

capon波束形成器，也称MVDR波束形成器。 它试图使噪声以及来自非θ方向的任何干扰所贡献的功率为最小,但又能保持在观测方向θ上的信号功率不变(capon beam form)

利用群酉码编码，差分译码的MATLAB仿真程序(Using group unitary coding, differential coding of the MATLAB simulation program)

适用于IEEE5，9,14,30节点的潮流计算程序，采用直角坐标系，牛拉法求解。(Applicable IEEE5, flow calculation program 9,14,30 nodes, using Cartesian coordinates, cattle Rafah solving.)

16QAM下行链路仿真 调制 解调 误码率(16QAM MODULATION Demodulation)

说明：  最全的通信类Matlab仿真例子集合。。。。。。。。。。。。。。(The most comprehensive set of communication class Matlab simulation example. . . . . . . . . . . . . .)

说明：  张志涌版，根据matlab R2010a版来编排的Matlab教材。值得matlab学习者下载，很与时俱进的东东。(The handbook of matlab R2010a.)

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.