Selected article for: "accurate future and machine learning system"

Author: Song-Kyoo Kim
Title: AAEDM: Theoretical Dynamic Epidemic Diffusion Model and Covid-19 Korea Pandemic Cases
  • Document date: 2020_3_20
  • ID: jf36as70_46
    Snippet: As shown in Figure 4 , the results are fairly accurate (see Figure 4 ) because the initial values for prediction have been measured everyday but it could predict only one day after. It is noted that this special AAEDM is capable to predicts an accurate future with only three values which everyone could find exact estimation even from news media [3, [6] [7] or from the government reports [8] . The accuracy of this AADEM is more than 90 % ( 0.9175).....
    Document: As shown in Figure 4 , the results are fairly accurate (see Figure 4 ) because the initial values for prediction have been measured everyday but it could predict only one day after. It is noted that this special AAEDM is capable to predicts an accurate future with only three values which everyone could find exact estimation even from news media [3, [6] [7] or from the government reports [8] . The accuracy of this AADEM is more than 90 % ( 0.9175).  4.2. The 10 days observation and the next 10 days predictions The calculation by using the AAEDM is straight forward and the predicted value could be estimated from (2.10). The 10 days (actually 11; 0,1, ,10) during the  observation period (02.21-03.02) is selected for the observation (i.e., a training phase in a machine learning system). All important parameters including the and could   be calculated by using the data during this period.

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