登录
首页 » matlab » ClassificationMatLabToolbox

ClassificationMatLabToolbox

于 2007-09-12 发布 文件大小:622KB
0 151
下载积分: 1 下载次数: 41

代码说明:

  关于MATLAB分类的工具箱。 希望对你有所帮助!(MATLAB toolbox on the classification. I hope for your help!)

文件列表:

Classification MatLab Toolbox
.............................\Classification MatLab Toolbox

.............................\.............................\Ada_Boost.m
.............................\.............................\ADDC.m
.............................\.............................\AGHC.m
.............................\.............................\Backpropagation_Batch.m
.............................\.............................\Backpropagation_CGD.m
.............................\.............................\Backpropagation_Quickprop.m
.............................\.............................\Backpropagation_Recurrent.m
.............................\.............................\Backpropagation_SM.m
.............................\.............................\Backpropagation_Stochastic.m
.............................\.............................\Balanced_Winnow.m
.............................\.............................\Bayesian_Model_Comparison.m
.............................\.............................\Bhattacharyya.m
.............................\.............................\BIMSEC.m
.............................\.............................\C4_5.m
.............................\.............................\calculate_error.m
.............................\.............................\calculate_region.m
.............................\.............................\CART.m
.............................\.............................\CARTfunctions.m
.............................\.............................\Cascade_Correlation.m
.............................\.............................\Chernoff.m
.............................\.............................\chess.mat
.............................\.............................\Classification.txt
.............................\.............................\classification_error.m
.............................\.............................\classifier.m
.............................\.............................\classifier.mat
.............................\.............................\classifier_commands.m
.............................\.............................\click_points.m
.............................\.............................\clouds.mat
.............................\.............................\Competitive_learning.m
.............................\.............................\Components_without_DF.m
.............................\.............................\Components_with_DF.m
.............................\.............................\contents.m
.............................\.............................\decision_region.m
.............................\.............................\Deterministic_annealing.m
.............................\.............................\Deterministic_Boltzmann.m
.............................\.............................\Deterministic_SA.m
.............................\.............................\Discrete_Bayes.m
.............................\.............................\Discriminability.m
.............................\.............................\DSLVQ.m
.............................\.............................\EM.m
.............................\.............................\enter_distributions.m
.............................\.............................\enter_distributions.mat
.............................\.............................\enter_distributions_commands.m
.............................\.............................\feature_selection.m
.............................\.............................\feature_selection.mat
.............................\.............................\Feature_selection.txt
.............................\.............................\feature_selection_commands.m
.............................\.............................\FindParameters.m
.............................\.............................\FindParameters.mat
.............................\.............................\FindParametersFunctions.m
.............................\.............................\find_classes.m
.............................\.............................\FishersLinearDiscriminant.m
.............................\.............................\fuzzy_k_means.m
.............................\.............................\GaussianParameters.m
.............................\.............................\GaussianParameters.mat
.............................\.............................\generate_data_set.m
.............................\.............................\Genetic_Algorithm.m
.............................\.............................\Genetic_Culling.m
.............................\.............................\Genetic_Programming.m
.............................\.............................\Gibbs.m
.............................\.............................\HDR.m
.............................\.............................\high_histogram.m
.............................\.............................\Ho_Kashyap.m
.............................\.............................\ICA.m
.............................\.............................\ID3.m
.............................\.............................\Infomat.m
.............................\.............................\Interactive_Learning.m
.............................\.............................\Kohonen_SOFM.m
.............................\.............................\Koller.m
.............................\.............................\k_means.m
.............................\.............................\Leader_Follower.m
.............................\.............................\LMS.m
.............................\.............................\load_file.m
.............................\.............................\Local_Polynomial.m
.............................\.............................\LocBoost.m
.............................\.............................\LocBoostFunctions.m
.............................\.............................\loglikelihood.m
.............................\.............................\LS.m
.............................\.............................\LVQ1.m
.............................\.............................\LVQ3.m
.............................\.............................\make_a_draw.m
.............................\.............................\Marginalization.m
.............................\.............................\MDS.m
.............................\.............................\Minimum_Cost.m
.............................\.............................\min_spanning_tree.m
.............................\.............................\ML.m
.............................\.............................\ML_diag.m
.............................\.............................\ML_II.m
.............................\.............................\multialgorithms.m
.............................\.............................\multialgorithms.mat
.............................\.............................\multialgorithms_commands.m
.............................\.............................\Multivariate_Splines.m
.............................\.............................\NDDF.m
.............................\.............................\NearestNeighborEditing.m
.............................\.............................\Nearest_Neighbor.m
.............................\.............................\NLPCA.m
.............................\.............................\None.m

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论


0 个回复

  • power-system-simulation
    电力系统的MATLAB-SIMULINK仿真与应用,包含主要原件模型、电力电子电路仿真、电力系统稳态暂态仿真等。(MATLAB-SIMULINK power system simulation and applications, including the main original model, the power electronic circuit simulation, steady state power system transient simulation Really so.)
    2011-12-29 13:12:04下载
    积分:1
  • qun-xq25
    有借鉴意义哦,均值便宜跟踪的示例,各种kalman滤波器的设计。( There are reference Oh, Example tracking mean cheap, Various kalman filter design.)
    2017-03-20 16:31:12下载
    积分:1
  • ALOs
    ALO优化算法,非常适合优化GM.相对于PSO优化算法的有点在于,能够定义优化参数的上下界。(ALO is used for optimize the model)
    2018-02-06 15:54:53下载
    积分:1
  • yichuansuanfa
    有关利用遗传算法经行风机微观选址的matlab案例源代码(Source code matlab case on the use of genetic algorithms the MORALS machine micro site)
    2012-05-21 17:09:57下载
    积分:1
  • PossionProcess
    判断随机过程是否为泊松过程,对其进行模拟、检验及参数估计。(Random process to determine whether a Poisson process, its simulation, test and parameter estimation.)
    2011-08-26 21:04:39下载
    积分:1
  • fast_mpc-0.0.1
    Model Predictive Control code using Matlab software: How Plants Are Used In Model Predictive Control. Blocking and typical Sampling Instant. Prediction and Control Horizons.
    2020-08-26 15:38:14下载
    积分:1
  • otsu
    用小波来实现纹理检测的一个MATLAB代码。很有用,简单明了。(using gabor wave to detecte texture)
    2010-06-21 14:52:36下载
    积分:1
  • WileyTheoryandApplicationsofOFDM
    说明:  这个是一个介绍OFDM原理的资料,对于初学者来说很好用(This is an introduction to the principle of OFDM data is useful for beginners)
    2011-02-25 10:45:42下载
    积分:1
  • lsqr-matlab
    matlab实现lsqr算法的源码,有强烈的参考价值,可用于地球物理反演。(matlab realize lsqr algorithm source code, there is a strong reference value, can be used for geophysical inversion.)
    2021-04-17 19:18:52下载
    积分:1
  • PSNRandSNR
    图像处理中关于计算一幅图像滤波前或滤波后峰值信噪比的Matlab代码(the matlab code for computing PSNR)
    2015-03-11 19:18:46下载
    积分:1
  • 696518资源总数
  • 105429会员总数
  • 27今日下载