资 源 简 介
该工具箱包括了混沌时间序列分析与预测的常用方法,有:
(1)产生混沌时间序列(chaotic time series)
Logistic映射 - ChaosAttractorsMain_Logistic.m
Henon映射 - ChaosAttractorsMain_Henon.m
Lorenz吸引子 - ChaosAttractorsMain_Lorenz.m
Duffing吸引子 - ChaosAttractorsMain_Duffing.m
Duffing2吸引子 - ChaosAttractorsMain_Duffing2.m
Rossler吸引子 - ChaosAttractorsMain_Rossler.m
Chens吸引子 - ChaosAttractorsMain_Chens.m
Ikeda吸引子 - ChaosAttractorsMain_Ikeda.m
MackeyGLass序列 - ChaosAttractorsMain_MackeyGLass.m
Quadratic序列 - ChaosAttractorsMain_Quadratic.m
(2)求时延(delay time)
自相关法 - DelayTime_OthersMain_AutoCorrelation.m
平均位移法 - DelayTime_OthersMain_AverageDisplacement.m
(去偏)复自相关法 - DelayTime_OthersMain_ComplexAutoCorrelation.m
互信息法 - DelayTime_MutualInformationMain_Mutual_Information.m
(3)求嵌入维(embedding dimension)
假近邻法 - EmbeddingDimension_FNNMain_FNN.m
文 件 列 表
回归算法
center.m
choldelete.m
cholinsert.m
elasticnet.m
example_elasticnet.m
example_forwardselection.m
example_lar.m
example_lasso.m
example_lasso_sigma.m
example_slda.m
example_spca.m
forwardselection.m
lar.m
larsen.m
lasso.m
normalize.m
profile_elasticnet.m
profile_lar.m
profile_lasso.m
profile_slda.m
profile_spca.m
slda.m
spca.m
test_cholesky.m
test_elasticnet_lasso_equivalence.m
test_elasticnet_orthogonal_variables.m
test_elasticnet_ridge_equivalence.m
test_group_selection.m
test_lar_lasso_equivalence.m
test_lar_ols_equivalence.m
test_lasso_ols_equivalence.m
test_lasso_orthogonal_variables.m
test_slda_orthogonality.m
test_slda_pda_equivalence.m
test_slda_ridge_equivalence.m
test_spca_pca_equivalence.m
