ROC

k-means算法 算法算法 算法算法 算法算法 算法算法 算法算法(k-means algorithm algorithm algorithm algorithm algorithm algorithm algorithm algorithm algorithm algorithm algorithm)

intel的ipp性能库sample code，提供了加速的静态图象处理示例，充分显示了ipp在多核平台下的性能优势(intel performance of ipp library sample code, provided the acceleration of static image processing example, it shows that in multi-core platform ipp performance advantages)

（1） 本系统用到四种神经网络对漏电嫌疑系数进行预测，分别是BP神经网络、RBF神经网络、GRNN神经网络、Elman神经网络，通过对神经网络结构参数的设置和调试，可以得到很好的预测效果，实际值和预测值之间的误差能达到5 以内。 （2） 本系统使用matlab做GUI界面，在界面上就可以分别对这四种神经网络的结构参数进行设置，从而可以调整神经网络的结构，达到较好的预测精度。 ((1) The system used four neural network to predict the suspected leakage coefficient, respectively, the BP neural network, RBF neural network, GRNN neural network, Elman neural network, the neural network structure parameter setting and commissioning, can get very good prediction, between the actual and predicted values ​ ​ of error of less than 5 . (2) the use matlab to do the GUI interface, the interface can each of these four neural network structure parameters set, the structure of the neural network, which can be adjusted to achieve better prediction accuracy.)

convolution using over add method

矩形平均CAFR检测，可以处理一些目标的条状的多普勒回波，效果较好(Doppler echo rectangular average CAFR detection, can handle some of the goals of the strip, the better)

在非合作博弈中，2013年提出的kg-cp算法的仿真程序(In the non-cooperative game, 2013 kg-cp proposed algorithm simulation program)

水准测量，水准网平差小程序，附准备数据格式说明(Level measurement, level network adjustment small program, with instructions to prepare the data format)

空间问题和空间轴对称问题中单向拉伸的杆的matlab有限元计算源程序，配套书籍是《ansys分析与matlab编程：徐荣桥》(Space issues and space axisymmetric problems in uniaxial tension rod Matlab finite element calculation source, supporting books ansys analysis and the matlab programming: Xu Rong Bridge " )

说明：  因为经典粗糙集只能处理离散型数据，而连续性数据必须离散化才能处理，但是离散化可能会丢失部分重要信息，所有使用基于邻域粗糙集的属性约简去处理连续性数据。(Attribute reduction based on neighborhood rough set)

双闭环调速系统仿真 简单实用 matlab 6.5版本 谢谢大家支持(Simulation of double-loop speed control system is simple and practical version of matlab 6.5 Thank you for your support)