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基于Matlab实现统计学习、机器学习、神经网络、深度学习案例(源码+数据).rar (128个子文件)
LeNet5_ConvNet_cross_entropy.m 12KB
LeNet5_ConvNet_drop_out_randn.m 11KB
LeNet5_ConvNet_ensemble5.m 11KB
LeNet5_ConvNet_stop_early_randn3.m 10KB
LeNet5_ConvNet_ensemble.m 10KB
LeNet5_ConvNet_stop_early_randn2.m 10KB
LeNet5_ConvNet_stop_early_randn.m 9KB
LeNet5_ConvNet_ensemble_error_detail.m 9KB
LeNet5_ConvNet_stop_early.m 9KB
LeNet5_ConvNet_improvement3.m 8KB
LeNet5_ConvNet_improvement2.m 8KB
LeNet5_ConvNet_improvement1.m 7KB
conjugate_descent_back_propagation.m 6KB
LeNet5_ConvNet_original.m 5KB
hierarchical_clustering.m 5KB
compet_lvq2_golden.m 4KB
compet_lvq2.m 3KB
rbf_ols.m 3KB
sofm_batch.m 3KB
PAM_kernel.m 2KB
k_means_silhouette.m 2KB
PAM.m 2KB
levenberg_marquardt_back_propagation2.m 2KB
max_soft_stoc_grad_ascent3.m 2KB
k_means.m 2KB
mutil_classify3_stoc_grad_ascent_one_to_one.m 2KB
GMM_EM.m 2KB
variables_selecting_both.m 2KB
back_propagation2.m 2KB
sofm.m 1KB
k_means_seeds.m 1KB
variables_selecting_forward.m 1KB
back_propagation2_momentum.m 1KB
rank_correlation_coefficient.m 1KB
similarity_coefficient.m 1KB
max_soft_stoc_grad_descent_cross_entropy4.m 1KB
logistic_stoc_grad_descent_lms.m 1KB
silhouette_pam.m 1KB
native_bayes_online.m 1KB
variables_selecting_backward.m 857B
generalized_difference_4serial_correlation.m 839B
estimate_autocorrelation.m 822B
estimate_weight.m 815B
lwlr_part.m 759B
mutil_forecast.m 716B
mutil_estimate.m 713B
similarity_chi2.m 708B
rbf_house_holder.m 706B
conjugate_descent.m 675B
rbf_schmidt.m 673B
regression_params_MSE.m 607B
T_outer_residual.m 562B
k_means_within_group_square.m 554B
regression_params_significance_weight_test.m 549B
steepest_descent_line.m 539B
BG_test.m 537B
adjusted_RSquare_weight.m 524B
strain_CMDS_coefficient.m 520B
regression_params_significance_test.m 518B
cochrance_orcutt_procedure.m 514B
hebb.m 467B
hamming.m 461B
dft_c.m 450B
newton_descent.m 439B
VIF_ridge.m 430B
autocorrelation_function.m 421B
forecast.m 419B
error_point_checking_params_base_deleting.m 401B
mutil_linear_significance_weight_test.m 397B
adaline.m 394B
mutil_linear_significance_test.m 380B
validate.m 380B
steepest_descent.m 370B
adaline_line.m 368B
classical_multidimensional_scaling.m 359B
estimate.m 358B
sofm_w_to_matrix.m 357B
error_point_checking_vars_base_deleting.m 348B
adjusted_RSquare.m 342B
T_inner_residual.m 340B
error_point_checking_SSE_base_deleting.m 334B
lwlr_msr.m 331B
linear_regression_confidence_interval.m 328B
hopfield.m 322B
cook_distance.m 320B
lwlr.m 303B
linear_init.m 297B
dim2_idct4.m 285B
similarity_chi2_matrix.m 281B
dim2_idct3.m 268B
DW_test_value.m 265B
VIF.m 264B
MSRes.m 263B
similarity_coefficient_matrix.m 250B
strain.m 247B
strain_CMDS.m 245B
error_point_checking_base_deleting.m 234B
LBQ_test.m 225B
mutil_linear_F.m 221B
clear_upper_triangular.m 206B
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