资源列表
[人工智能/神经网络/遗传算法] genplschengxu
说明:这是遗传算法和偏最小二乘法共同实现,通过Matlab实现-This is a genetic algorithm and partial least squares common realize, realize, through Matlab<杨刚> 在 2025-09-21 上传 | 大小:25kb | 下载:0
[matlab例程] VisualC++_MATLAB
说明:《Visual C++_MATLAB图像处理与识别实用案例精选》配套源程序<ranzoo> 在 2025-09-21 上传 | 大小:2.08mb | 下载:0
[matlab例程] lunwen
说明:本论文的主要工作在于引入了一种新的特征提取方法----独立分量分析。独立分量分析的根本原理是通过分析多维观测数据间的高阶统计相关性,找出相互独立的隐含信息成分,完成分量间高阶冗余的去除及独立信源的提取-In this paper, the major work is the introduction of a new method of feature extraction independent component analysis. Independent component analysi<张敏> 在 2025-09-21 上传 | 大小:1.18mb | 下载:0
[matlab例程] gmm
说明:Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) takes the dimension of the space DIM, the number of centres in the mixture model and the type of the mixture model, and returns a data structure MIX.<西晃云> 在 2025-09-21 上传 | 大小:2kb | 下载:0
[数值算法/人工智能] kmeansNetlab
说明:KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means algorithm to set the centres of a cluster model. The matrix DATA represents the data which is being clustered, with each row corresponding to<西晃云> 在 2025-09-21 上传 | 大小:2kb | 下载:0
[数学计算/工程计算] ppca
说明:Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the principal % component subspace U of dimension PPCA_DIM using a centred covariance matrix X. The variable VAR contains the off-subspace variance (which<西晃云> 在 2025-09-21 上传 | 大小:1kb | 下载:0
[数学计算/工程计算] hmc
说明:Hybrid Monte Carlo sampling.SAMPLES = HMC(F, X, OPTIONS, GRADF) uses a hybrid Monte Carlo algorithm to sample from the distribution P ~ EXP(-F), where F is the first argument to HMC. The Markov chain starts at the point X, and the function GRAD<西晃云> 在 2025-09-21 上传 | 大小:3kb | 下载:0