Patent ID: 11886967
Assignee: WUHAN UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G  Y | IPC G

Claim 4:
5. The long-term streamflow forecast method of claim 4, wherein, in the sub-step 8.1, the restricted Boltzmann machine is formed by a visible layer v and a hidden layer h, wherein there is no intra-layer connection but inter-layer full connection in the network of the restricted Boltzmann machine; for one set of given states (v,h), a jointly-configured energy function of a visible unit and a hidden unit is based on formula:, E
    ⁡
    (
    
     v
     ,
     
      h
      |
      θ
     
    
    )
   
   =
   
    
     -
     
      
       ∑
       
        p
        =
        1
       
       V
      
      
       
        ∑
        
         q
         =
         1
        
        H
       
       
        
         v
         p
        
        ⁢
        
         w
         
          p
          ⁢
          q
         
        
        ⁢
        
         h
         q
        
       
      
     
    
    -
    
     
      ∑
      
       p
       =
       1
      
      V
     
     
      
       b
       p
      
      ⁢
      
       v
       p
      
     
    
    -
    
     
      ∑
      
       q
       =
       1
      
      H
     
     
      
       c
       q
      
      ⁢
      
       h
       q
      
     
    
   
  
  ;, in the formula, θ represents a parameter {w,b,c} of the restricted Boltzmann machine, wpq is a connection weight between a p-th visible unit and a q-th hidden unit, b([b1, . . . , bV]) and c([c1, . . . , cH]) are respective bias vectors of the p-th visible unit and the q-th hidden unit, and V and H represent a number of neuron nodes of the visible layer and the hidden layer respectively.