资源列表
Simulink_kalman
- 实现KALMAN滤波算法，通过跟踪，估计物体运动轨迹。-,matlab,matlab例程/matlab，做了仿真-achieve Kalman filtering algorithm, tracking, estimated object trajectories. -, Matlab and Matlab routines / Matlab, so the simulation
LS_Matlab65
- 这是一个利用MATLAB6.5进行航迹跟踪的程序序，采用了最小二线性估计的方法来进行跟踪。-This is a track used for tracking MATLAB6.5 procedures sequence, using a minimum of two linear estimation methods for tracking.
greycluster
- 災色統計聚類的matlab源碼，可用來進行統計分析，計算白化與灰化的情況-disaster color clustering Matlab statistical source, which can be used for statistical analysis, computation and whitening of the ash
greyentropy
- 利用熵（entropy）及多變量GM(h.N)模型的觀念，探討灰色理論於權重之分析-use of entropy (entropy) and multivariable GM (h.N) model concepts, Gray explore theories Weight Analysis
LogisticRegression
- 关于Logistic回归统计算法的matlab实现，内容包括建模、输出变量预测和预测误差分析。数据来自UCI数据库中的Ionosphere database，有351个统计实例，输出变量是二分类变量，代表电波从电离层反射的好坏情况，共有32个特征值。(压缩包中包含已经处理好的数据)-on Logistic regression algorithm to achieve the Matlab, including modeling, variable output forecast and pre
gmone
- 灰色理論之GM(!,1)模型，GM(1,1)的matlab源碼，可從生成一直計算到預測值-gray theory GM (! , 1) model, GM (1,1) Matlab source, has been generated from the calculated value of the forecast
NearestNeighbor
- 模式识别问题最近邻算法的matlab实现，简单易懂-nearest neighbor pattern recognition algorithm to achieve the Matlab and easily understood
fisherByMatlab
- fisher算法在多类情况下的matlab实现，主程序调用multiclassfisher既得。-fisher algorithm in a wide range of circumstances to achieve the Matlab, main program called multiclassfisher acquired.
greygenchang
- 灰色理論下之最基本操作元，灰生成之matlab源碼，可很快計算出數據各階之生成結果-gray under the basic theory of operation, the ash generated Matlab source, can quickly calculate the data-generating results
ggrgwu
- 灰色理論下之灰關聯matlab源碼，可幫助計算一序列中的數據的權重，得以給予不同之相關性-gray theory under gray relational Matlab source that could help the calculation of a sequence of data weights, given to the relationship between different
saleforecast
- 本算法用最小二乘法依据指定的M个基函数及N个已知数据进行曲线拟和 。 本算法用指数平滑法预测数据-the algorithm using the least-squares method based on the designated function of M and N-known data and the curve-fitting. The algorithm used to predict exponential smoothing data
ch16-end
- 用途比较广泛的常用算法程序集\\C语言\\最后一章，第16章的代码 （本书代码已经全部上传完毕）-uses broad collection procedures commonly used algorithm \\ C \\ last chapter, Chapter 16 of the code (the code book has completed all uploads)