很好的蚁群算法

说明：  编写定步长复化Simpson公式与变步长（自适应）复化Simpson公式的通用程序，并用变步长（自适应）复化Simpson公式计算π的近似值.(Complex Simpson formula)

应用背景在无线通信传输 ；在无线通信传输 ；在无线通信传输 ；在无线通信传输 ；在无线通信传输 ；在无线通信传输 ；在无线通信传输 ；在无线通信传输 ；在无线通信传输 ；在无线通信传输 ； 无线通信传输；关键技术okokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokokok

FASTICA算法从多维信号中估计其独立分量。FASTICA采用Hyvarinen的定点算法实现。(FASTICA(mixedsig) estimates the independent components given multidimensional signals. Each row of matrix mixedsig is one observed signal. FASTICA uses Hyvarinen s fixed-point algorithm. )

Locality-constrained Linear Coding (LLC) utilizes the locality constraints to project each descriptor into its local-coordinate system, and the projected coordinates are integrated by max pooling to generate the final representation.

用VC调用Matlab的文章，文章详细介绍了几种方法，并给出了示例(VC call Matlab with the article, the article details several ways, and gives examples of)

双馈电机matlab中的仿真模型文献，有风力机的介绍(Modeling and Simulation of Doubly—Fed Induction Wind Power System Based on Matlab／Simulink)

随机子空间的matlab主程序代码，可以实现高精度的信号辨识。按照《基于随机子空间和最小二乘法的介质损耗角测量方法》、常军博士论文《随机子空间方法在桥梁模态参数辨识中的应用研究》编写。(Stochastic subspace matlab main code, you can achieve high-precision recognition. Accordance with the " stochastic subspace-based least-squares method and dielectric loss angle measurement methods" , regular army doctoral thesis " stochastic subspace identification of modal parameters of the bridge in the applied research" to write.)

求解任意区域上的二元函数的二重积分，功能强大实用方便！(Solving binary function on any area of ​ ​ the double integral, powerful practical and convenient!)

PCA程序，可用于学习交流，也可用于特征脸的获取等(PCA program can be used for the exchange of learning, it can also be used to obtain the characteristics of the face, etc.)

基于过滤器算法使用一个银行伽柏过滤器捕捉 本地和全球在指纹细节紧凑的固定长度 FingerCode。 指纹匹配是基于欧氏 两个相应的FingerCodes因此之间的距离 非常快。能够达到一个验证精度 只是略次于minutiae-based最好的结果 算法在公开文献发表。 我们的系统执行 比最先进的minutiae-based系统时 应用系统的性能要求不要求 错误接受率很低。 最后,我们表明,匹配 可以通过结合提高性能的决定 基于互补的匹配器(minutiae-based和基于过滤器) 指纹信息。 The fingerprint matching is based on the Euclidean distance between the two corresponding FingerCodes and hence is extremely fast. We are able to achieve a verification accuracy which is only marginally inferior to the best results of minutiae-based algorithms published in the open literature. Our system performs better than a state-of-the-art minutiae-based system when the performance requirement of the application system does not demand a very low false acceptance rate. Finally, we show that the matching performance can be improved by combining t