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mnnprobl.igb
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1993-08-23
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inst4.1 !Sept 17, 1992
!****************************************************************
!* *
!* Modular Neural Network Gating Probabilities (Learn) *
!* *
!****************************************************************
!
@LLsl !Load super-layer
=n0 Lpes !Number of layers
=LayN 0
! Look for output of Gating layer. This is characterized by
! an exponential Transfer function and a normalizing output
! function
:GtPrbLLp
+LayN 1 !next layer
?LayN n0
>bgt GtPrLEnd !past output layer
@LLly !load the layer
?Lcmp "SoftMax" !SoftMax output function?
>bne GtPrbLLp !no, try again
! Add probe
=NPEl LayN !point to layer
=PNam "GateOut" !probe name
@PbAS !Add Probe
@PbDC !Delete all components
@PALy !Add Near Layer to Probe
! Now build the instrument
@ILdD !load default instrument
=ITit "Gating Probs." !Instrument title
=IGTy "Strip" !Graph Type
=IGVr "Out" !Variable
=ITTy "RMS" !RMS Transformation Type
=ITMd 0 !No transformation
=IEpc 0 !No epoch
=Ignx 100 !100 graph points
=Inpl Lpes !# plots = #local experts
=Ihgt 50
=Iwdt 200
=Ivmn 0.0
=Ivmx 1.2
=ILnA 1 !Active in Learn
=IRcA 0 !Inactive in recall
=ILDv 5 !Every 5 iteration
=ILRm 0
=IRDv 0
=IRRm 0
=IPrb PNam !Point to probe
=ICAc 0 !Convergence criterion inactive
=ICTh 0.0 !Convergence Threshold
!Let NeuralWorks figure out where to put instrument
=x 0
=y 0
@IAdd !Now create instrument
:GtPrLEnd