Image_cartoonlization-master

fdtd 在自由空间没有吸收边界的情况下的代码(1D FDTD simulation in free space Without Absorbing Boundary Condition )

交流异步电动机稳态模型 matlab simulink仿真 变压变频调速 调压调速(AC motor double closed loop speed control system MATLAB simulation)

该代码实现了 ook等不同通信通信方式的误码率的仿真比较。(The code implementation of different communication ook communication BER simulation comparison.)

说明：  Training Sequence Design for Discriminatory Channel Estimation in Wireless MIMO Systems

DQPSK SIMULINK调制解调仿真 绝对能运行(DQPSK SIMULINK simulation is absolutely able to run modem)

job scheduling problem for single machine

Matlab in voronoi tessellation

Artificial neuarl network is one of the recent developed softcomputing technique work on the basis of human neural system. The traning and testing are the two important process in artificial neural network. ther are many techniques used for the training of artificial neural network, however backpropagation algorithm is the traditional method for training purpose. this document contain the mathematical formation of artificial neural network with backpropagation training.

output of 5 level inverter in matlab

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.