Initial commit
This commit is contained in:
@@ -0,0 +1,103 @@
|
||||
!$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$
|
||||
double precision function annfunc(nparams,params,nh,q,w,bph,bend)
|
||||
implicit none
|
||||
integer nparams,nh
|
||||
!nh is the number of hidden nodes in one hiden layer
|
||||
!params is the inputs
|
||||
!w is the weighting coefficients for the inputs
|
||||
double precision params(nparams),q(nh),
|
||||
&w(nparams,nh),bph(nh),bend
|
||||
integer i,v
|
||||
double precision term,activatefunc
|
||||
annfunc=bend
|
||||
do i=1,nh
|
||||
term=bph(i)
|
||||
do v=1,nparams
|
||||
term=term+w(v,i)*params(v)
|
||||
enddo
|
||||
annfunc=annfunc+q(i)*activatefunc(term)
|
||||
enddo
|
||||
end
|
||||
|
||||
subroutine derannfunc(nparams,params,nh,q,w,bph,
|
||||
& bend,derq,derw,derbph,derbend)
|
||||
implicit none
|
||||
integer nparams,nh
|
||||
!nh is the number of hidden nodes in one hiden layer
|
||||
!params is the inputs
|
||||
!w is the weighting coefficients for the inputs
|
||||
double precision params(nparams),q(nh),w(nparams,nh),
|
||||
&bph(nh),bend,derq(nh),derw(nparams,nh),derbph(nh),derbend
|
||||
integer i,v
|
||||
double precision term,activatefunc,gradactivatefunc
|
||||
derbend=1.0d0
|
||||
do i=1,nh
|
||||
term=bph(i)
|
||||
do v=1,nparams
|
||||
term=term+w(v,i)*params(v)
|
||||
enddo
|
||||
derq(i)=activatefunc(term)
|
||||
derbph(i)=q(i)*gradactivatefunc(term)
|
||||
do v=1,nparams
|
||||
derw(v,i)=derbph(i)*params(v)
|
||||
enddo
|
||||
enddo
|
||||
end
|
||||
|
||||
double precision function activatefunc(x)
|
||||
implicit none
|
||||
double precision x,crit
|
||||
parameter(crit=300)
|
||||
|
||||
! activatefunc=2.0d0*datan(x)/3.14159265d0
|
||||
! return
|
||||
|
||||
if(x.gt.-crit)then
|
||||
activatefunc=1.0d0/(1.0d0+dexp(-x))
|
||||
else
|
||||
activatefunc=dexp(x)/(1.0d0+dexp(x))
|
||||
endif
|
||||
return
|
||||
end
|
||||
|
||||
double precision function gradactivatefunc(x)
|
||||
implicit none
|
||||
double precision x,crit
|
||||
parameter(crit=600)
|
||||
|
||||
! gradactivatefunc=2.0d0/(3.14159265d0*(1.0d0+x*x))
|
||||
! return
|
||||
|
||||
if(x.gt.-crit.and.x.lt.crit)then
|
||||
gradactivatefunc=
|
||||
& (1.0d0/(dexp(x/2.0d0)+dexp(-x/2.0d0)))**2
|
||||
else
|
||||
gradactivatefunc=0.0d0
|
||||
endif
|
||||
return
|
||||
end
|
||||
|
||||
subroutine gradannfunc(nparams,params,nh,q,w,bph,
|
||||
&der_params)
|
||||
implicit none
|
||||
integer nparams,nh
|
||||
double precision params(nparams),der_params(nparams),
|
||||
&q(nh),w(nparams,nh),bph(nh)
|
||||
integer i,v
|
||||
double precision term,dsigdterm,
|
||||
& gradactivatefunc,activatefunc
|
||||
do i=1,nparams
|
||||
der_params(i)=0.0d0
|
||||
enddo
|
||||
do i=1,nh
|
||||
term=bph(i)
|
||||
do v=1,nparams
|
||||
term=term+w(v,i)*params(v)
|
||||
enddo
|
||||
dsigdterm=gradactivatefunc(term)
|
||||
do v=1,nparams
|
||||
der_params(v)=der_params(v)+q(i)*dsigdterm*w(v,i)
|
||||
enddo
|
||||
enddo
|
||||
return
|
||||
end
|
||||
Reference in New Issue
Block a user