code

pheromone levels of terms based on the quality of the best rule among the rules constructed improves the predictive accuracy for some datasets.

5151程序集51programmeYEJING.rar5151程序集51programmeYEJING.rar(51) the procedures set) programmeYEJING.rar51) assembly) programmeYEJING.rar)

国外Lupash Consulting公司开发的GPS工具箱，内有详细的使用手册，功能全面强大。非常好用(Lupash Consulting abroad GPS kit developed with a detailed user manual, full-featured powerful. Very good)

光伏MPPT最大功率跟踪仿真模型，很有参考价值的算法(Photovoltaic maximum power tracking of MPPT simulation model, the algorithm of great reference value)

Relative orientation (kraus)

monte carlo power flow in power system with the matpower

n-queens implementation in MATLAB

this is a code for square detect in image using transform

时域单通道语音增强的英文书籍,大牛Jacob弄得，非常不错(2012- Speech Enhancement in the STFT Domain)

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.