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Figure 2. The general structure of the proposed approach-Genetic Algorithms Principles Towards Hidden Markov Model

<p>The chromosome contains 8 genes, each is represented by the relation between two states<br> accompanied with a probability value. The genes should be formed in this way because this is<br> important in the crossover operation as to be explained later. The most important thing is that each<br> two genes has the probability summation of 1.0. For example Med-Med:02 and Med-High:08 have<br> the summation of 1.0. Similarly High-High:0.6 and High-Med:0.4 have the summation of 1.0. Each<br> two genes with summation of 1.0 should be neighbors.</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0

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