Information entropy is the uncertainty of random variables or the whole system. The greater the entropy, the greater the uncertainty of the random variable or system. Relative entropy, used to measure the difference between two positive functions or probability distributions. Cross entropy is used to measure the size of the effort required to eliminate the uncertainty of the system by using the strategy specified by the non real distribution in a given real distribution. Relative entropy = cross entropy - Information entropy:

Filename	Size	Update
Class_4_Code\html\main_GRNN_PNN.html	17037	2015-08-15
Class_4_Code\html\main_GRNN_PNN.png	3184	2015-08-15
Class_4_Code\html\main_GRNN_PNN_01.png	8204	2015-08-15
Class_4_Code\html\main_GRNN_PNN_02.png	9510	2015-08-15
Class_4_Code\html\main_GRNN_PNN_03.png	7940	2015-08-15
Class_4_Code\html\main_RBF.html	8024	2015-08-15
Class_4_Code\html\main_RBF.png	3103	2015-08-15
Class_4_Code\html\main_RBF_01.png	7295	2015-08-15
Class_4_Code\iris_data.mat	1105	2010-10-17
Class_4_Code\main_GRNN_PNN.m	2780	2015-08-15
Class_4_Code\main_RBF.m	1026	2015-09-13
Class_4_Code\spectra_data.mat	171497	2010-10-14
Class_4_Code\html
Class_4_Code

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