BP Algorithm The modification quantity of weight w is: E(n)--n,(n)y.(n) △w,m=-naNm where δ，(n)=e,(n)p(v,(n) (1) For j is an output neuron:5,(n)=(d,(n)-y (n)((m)) (2) For j is a hidden neuron: 6,0m= aEmo'v,n》 ay,(n)）' d,(m）=py,（n∑d(m)wg(m） [△wu]=[n][δ，(n][y,(n)]BP Algorithm ◼ The modification quantity of weight wji is: where (1) For j is an output neuron: (2) For j is a hidden neuron: ( ) ( ) ( ) ( ) ( ) n y n w n E n w n j i ji ji  = −    = − (n) e (n) (v (n))  j j  j j =  =   k  j (n)  j (v j (n))  k (n)wkj (n) (n) (d (n) y (n)) (v (n))  j j j  j j = −  ( ( )) ( ) ( ) ( ) v n y n E n n j j  j    = − [ w ] [ ] [ (n)] [ y (n)] ij j i  =  •  •