Patent ID: 11874429
Assignee: NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY
Field: Computer technology (Electrical engineering)
Classification: CPC G  Y | IPC G

Claim 3:
4. The high-temperature disaster forecast method based on the directed graph neural network according to claim 1, wherein in the step S3, a cross entropy loss function is chosen as the loss function and an expression thereof is as follows:, l
   =
   
    
     1
     m
    
    ⁢
    
     
      ∑
      
        
       
        k
        =
        1
       
      
      
        
       m
      
     
     
      G
      ⁡
      (
      
       
        y
        
         (
         k
         )
        
       
       ,
       
        y
        
         ′
         ⁡
         (
         k
         )
        
       
      
      )
     
    
   
  
  ;, G
    ⁡
    (
    
     
      y
      
       (
       k
       )
      
     
     ,
     
      y
      
       ′
       ⁡
       (
       k
       )
      
     
    
    )
   
   =
   
    -
    
     
      ∑
      
        
       
        J
        =
        1
       
      
      
        
       p
      
     
     
      
       y
       
        (
        k
        )
       
      
      ⁢
      log
      ⁢
      
       y
       
        ′
        ⁡
        (
        k
        )
       
      
     
    
   
  
  ;
 

where m represents a total amount of data, p represents a classification number, k represents current input data, yt(k) represents a forecasted value, and y(k) represents an actual value.