Sentence examples for using the entropy theory from inspiring English sources

Both marginal and joint distributions are derived using the entropy theory.

In this paper, an ENN, which combines the component networks using the entropy theory, is proposed.

The study finds the following: (1) both univariate and joint distributions can be derived using the entropy theory.

(2) With the marginal distributions derived using the entropy theory, the best copula is selected as the copula function yielding the maximum entropy.

(3) Both marginal and joint distributions are derived using the entropy theory (e.g., Chu 2011; Chen et al. 2013; Aghakouchak 2014).

The most entropic canonical copula may be derived using the entropy theory, similar to the application of entropy theory to the univariate random variables.

Then, four indexes are combined into a synthesized index by using the entropy weight theory, which could take most of the characteristics of generator trajectories into consideration in identifying the coherent generator groups.

We then combine the conditional probability of all activated words using the Entropy measure proposed in Information Theory [ 45]: (Equation 2) Lexical Entropy = ∑ i = 1 n − p (w o r d i | s p e e c h ) × log (p (w o r d i | s p e e c h ) ).

Following alignment with CLUSTAL, column entropy [72] was calculated using the entropy web server http://www.hiv.lanl.gov/content/sequence/entropy /entropy_one.html.html

CUB was estimated using the entropy statistic as previously described.

Figure 5 illustrates the recovered images at the different stages during the recovery process using the information entropy theory described in the last section, where the entropy curve as a function of the diffraction distance z in the entire process is shown in the middle of the figure.