露天矿运输问题的模拟退火优化_彭程

基于熵的检测器，有很好的鲁棒性在噪声不确定的情况下，环境应用认知无线电(Entropy-based detector, has a good robustness under noise uncertainty, environmental applications of cognitive radio)

VRP, for solving vehicle routing problem

根据一组样本数据的均值和协方差矩阵随机产生正态分布以及对数正态分布的任意规模的样本数据。(According to a set of sample data mean and covariance matrix randomly generated normal and lognormal distribution of the sample data of any size.)

使用matlab编写的一个小flash，运行M文件即可看到雪花飘舞(Using Matlab prepared a small flash, running the M-file to see the snow flying)

径向基函数是一个取值仅仅依赖于离原点距离的实值函数，也就是Φ（x）=Φ(‖x‖),或者还可以是到任意一点c的距离，c点称为中心点，也就是 Φ（x，c）=Φ(‖x-c‖)。任意一个满足Φ（x）=Φ(‖x‖)特性的函数Φ都叫做径向量函数，标准的一般使用欧氏距离，尽管其他距离函数也是可以的。一些径向函数代表性的用到近似给定的函数，这种近似可以被解释成一个简单的神经网络，径向基函数在支持向量机中也被用做核函数。(Radial basis function depends only on the value of a real-valued function of the distance from the origin, i.e. Φ (x) = Φ (x ‖ ‖) or may also be the distance to any point c, c is called the center point , i.e. Φ (x, c) = Φ (xc ‖ ‖). Satisfy any one of Φ (x) = Φ (x ‖ ‖) characteristic functions are called radial vector function Φ standard Euclidean distance is generally used, although other distance functions are also possible. Some typical uses radial function approximation given function, this approximation can be interpreted as a simple neural network, RBF in support vector machines have also been used to make nuclear functions.)

说明：  结构风荷载理论与matlab计算的实例程序，适合初学者理解matlab风荷载计算(The wind load theory of structure and the example program of matlab calculation are suitable for beginners to understand the wind load calculation of MATLAB)

使用高斯模型对威斯康辛州大学医学院长期乳腺癌数据进行了贝叶斯模式识别。识别率为95以上，可以作为模式识别的重要案例。(Gaussian model using the University of Wisconsin School of Medicine conducted a long-term breast cancer data Bayesian pattern recognition. Recognition rate is above 95 can be regarded as an important case of pattern recognition.)

主成分分析法源码，可用于提取主成分，识别率百分之九十(the PCA code)

本文件算出闭合曲线图形的面积是根据像素点来的(Closed curves calculated in this document is based on the size of graphics to the pixel)

无参考图像质量评价，输入图像，输出评价指标，介于0至100之间(image quality assessment)