Conf_Journal_Prediction_DataCompression

Autoregressive cholesky model for correlated links observed in athlete monitoring scenario

游需求分析婶予促进我目各地区的经济发展和文化交流都有着重要的意叉。由于旅游行业的。小样本，膏信息，不确定”性， 旅游市场可以看做是一个巨大的灰色系统。皋文竹对旅游需求同题进行了详细的研完，提出了基于灰色表镜理论的多元数学预测模型GM (1，N)．合理分析诸多因素对旅游需求的综合影响，可以很好的解决此奏问题。同时。以北京地区旅游需求发展为倒，根据北京市旅游局平 的历年旅游统计数据，确定影响游客人数的因素并对其合理量化，应用GM(1，N)模型对最地的旅游需求进行预潮．井通过残盖检验，后戎 差检验手方法对谊模型进行分析．得到的攮测结晨比较准磅，未模型应用范田广泛，可以进行推广使用。(Travel demand analysis aunt I promote my head the region s economic development and cultural exchange has an important meaning fork. As the tourism industry. Small sample, paste the information, uncertain "sex, Tourism market can be seen as a huge gray system. Gao asparagus tourism demand with the title for a detailed study finished, put forward the theory based on gray table mirror multivariate mathematical prediction model GM (1, N). Rational analysis of factors combined effects of tourism demand, can solve this problem outs. Simultaneously. Development of regional tourism demand in Beijing is an inverted, according to the Beijing Municipal Tourism Bureau level Calendar year tourism statistics to determine the factors that affect the number of visitors and their reasonably quantified, the application of GM (1, N) model of the tourism demand for the most pre-cuts. Well residue cover through test after Rong Poor test methods friendship hand model for analysis. Nang get more accurat)

小波包法去除放电信号中的白噪声，采用db4小波分解4层(Removal of wavelet packet discharge signal white noise, using four-layer wavelet decomposition db4)

多目标蚁狮优化算法求解电力系统经济调度问题(Multi-objective ant lion optimizer for solving ecnomic dispatch problem)

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matlab下利用s-function实现rs232编码、解码及通讯的实例程序。需要在matlab下利用mex编译使用（参见s-function用法）(matlab using s-function to achieve rs232 encoding, decoding and communication procedures of the examples. Need to use matlab using mex compiler (see the use of s-function))

randgen(mu,mu1,mu2,cov1,cov2,cov3) = Random generation of Gaussian Samples in d-dimensions where d = 2 mu, mu1, mu2 = (x,y) coordinates(means) that the gaussian samples are centered around cov1, cov2, cov3 are the covariance matrices and will vary changing the shape of the distribution, example: cov = sigma^2*Identity Matrix, where sigma^2 = a scalar N = the number of gaussian samples used are provided as user input, A test set of N/2 and a training set of N/2 gaussian samples is also generated Output is directed to the command window and a plot of the distributions are generated

说明：  MATLAB中用于解常微分方程序的算法解释。(matlab ode suite)

混沌系统中得logistic映射分岔图源程序，可以看到分岔效果，具有混沌特性(Chaotic systems have in the logistic map bifurcation diagram source, you can see the bifurcation effect the character of chaos)