bwtenc

说明：  用matlab实现的K2算法，需要用到贝叶斯网络工具箱(K2 algorithm implemented with matlab)

经典Matlab教材，关于Matlab高级编程、编译、与外部程序接口、界面设计技巧等。(Matlab textbook classic, high-level programming on Matlab, compiled, and the external program interface, interface design skills.)

metodos de jacobi by davo

两电平和三电平的仿真模型和配套论文，便于学习，三电平的逆变器仿真(Three-level Inverter Simulation)

说明：  利用matlab编写的遗传算法实现控制系统的计算机程序的优化设计(using Matlab prepared by the Genetic Algorithm computer control system design optimization process)

MATLAB6.x信号处理,电子工业出版社(matlab book)

A. Fusion at the Feature Extraction Level The data obtained from each sensor is used to compute a feature vector. As the features extracted from one biometric trait are independent of those extracted from the other, it is reasonable to concatenate the two vectors into a single new vector. The primary benefit of feature level fusion is the detection of correlated feature values generated by different feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy [14]. The new vector has a higher dimension and represents the identity of the person in a different hyperspace. Eliciting this feature set typically requires the use of dimensionality reduction/selection methods and, therefore, feature level fusion assumes the availability of a large number of training data.

说明：  gpops工具箱，含官方手册和例子，适合新手学习(Gpops toolbox, including the official manual and examples, suitable for beginners to learn)

说明：  基于matlab的图像处理及瑕疵自动检测(Matlab-based image processing and automatic detection of defects)

LVQ神经网络的分类——乳腺肿瘤诊断,包含源代码和数据(LVQ neural network classification- breast cancer diagnosis, including source code and data)