Script started on Mon Nov 29 09:50:18 1999
rocky-gw - dutton - exam2 > pcl

GCL (GNU Common Lisp)  Version(2.2) Wed Jan 22 09:55:53 EST 1997
Licensed under GNU Public Library License
Contains Enhancements by W. Schelter

>(in-package "pcl")
#<"PCL" package>

PCL>(load :^[[4~"nn2,l^[[4~^[[4~                      nn^[[4~            b load "nn2.l")
Loading nn2.l
Compiling gazonk0.lsp.
End of Pass 1.  
End of Pass 2.  
OPTIMIZE levels: Safety=1 (No runtime error checking), Space=0, Speed=3
Finished compiling gazonk0.lsp.
Loading gazonk0.o
start address -T 63a008 Finished loading gazonk0.o
Finished loading nn2.l
T

PCL>(load "test.l")
Loading test.l
HIDDEN-CELL |> network-address = 3, layer-address = 1, net-value = NIL,
 threshold = NIL, +++ activation-value = NIL, output-value = NIL <|
HIDDEN-LAYER ...
HIDDEN-CELL |> network-address = 3, layer-address = 1, net-value = NIL,
 threshold = NIL, +++ activation-value = NIL, output-value = NIL <|
SYNAPSE...
INPUT-CELL |> network-address = 1, layer-address = 1, input-value = NIL <|
HIDDEN-CELL |> network-address = 3, layer-address = 1, net-value = NIL,
 threshold = NIL, +++ activation-value = NIL, output-value = NIL <|
weight = 0
SYNAPSE...
HIDDEN-CELL |> network-address = 3, layer-address = 1, net-value = NIL,
 threshold = NIL, +++ activation-value = NIL, output-value = NIL <|
OUTPUT-CELL |> network-address = 4, layer-address = 1, net-value = NIL, threshold = NIL,
 +++ activation-value = NIL, output-value = NIL <|
weight = 0
SYNAPSE-SPACE...
SYNAPSE...
INPUT-CELL |> network-address = 1, layer-address = 1, input-value = NIL <|
HIDDEN-CELL |> network-address = 3, layer-address = 1, net-value = NIL,
 threshold = NIL, +++ activation-value = NIL, output-value = NIL <|
weight = 0
SYNAPSE...
INPUT-CELL |> network-address = 2, layer-address = 2, input-value = NIL <|
HIDDEN-CELL |> network-address = 3, layer-address = 1, net-value = NIL,
 threshold = NIL, +++ activation-value = NIL, output-value = NIL <|
weight = 0
SYNAPSE-SPACE...
SYNAPSE...
HIDDEN-CELL |> network-address = 3, layer-address = 1, net-value = NIL,
 threshold = NIL, +++ activation-value = NIL, output-value = NIL <|
OUTPUT-CELL |> network-address = 4, layer-address = 1, net-value = NIL, threshold = NIL,
 +++ activation-value = NIL, output-value = NIL <|
weight = 0
INPUT-LAYER ...
INPUT-CELL |> network-address = 1, layer-address = 1, input-value = NIL <|
INPUT-CELL |> network-address = 2, layer-address = 2, input-value = NIL <|
HIDDEN-LAYER ...
HIDDEN-CELL |> network-address = 3, layer-address = 1, net-value = NIL,
 threshold = NIL, +++ activation-value = NIL, output-value = NIL <|
OUTPUT-LAYER ...
OUTPUT-CELL |> network-address = 4, layer-address = 1, net-value = NIL, threshold = NIL,
 +++ activation-value = NIL, output-value = NIL <|
SYNAPSE-SPACE...
SYNAPSE...
INPUT-CELL |> network-address = 1, layer-address = 1, input-value = NIL <|
HIDDEN-CELL |> network-address = 3, layer-address = 1, net-value = NIL,
 threshold = NIL, +++ activation-value = NIL, output-value = NIL <|
weight = 0
SYNAPSE...
INPUT-CELL |> network-address = 2, layer-address = 2, input-value = NIL <|
HIDDEN-CELL |> network-address = 3, layer-address = 1, net-value = NIL,
 threshold = NIL, +++ activation-value = NIL, output-value = NIL <|
weight = 0
SYNAPSE-SPACE...
SYNAPSE...
HIDDEN-CELL |> network-address = 3, layer-address = 1, net-value = NIL,
 threshold = NIL, +++ activation-value = NIL, output-value = NIL <|
OUTPUT-CELL |> network-address = 4, layer-address = 1, net-value = NIL, threshold = NIL,
 +++ activation-value = NIL, output-value = NIL <|
weight = 0
establish weights
synapse1
weight= 0.29999999999999999
synapse1
weight= 0.90000000000000002
synapse1
weight= 0.90000000000000002
synapse1
weight= 0.5
INPUT-LAYER ...
INPUT-CELL |> network-address = 1, layer-address = 1, input-value = NIL <|
INPUT-CELL |> network-address = 2, layer-address = 2, input-value = NIL <|
INPUT-CELL |> network-address = 3, layer-address = 3, input-value = NIL <|
INPUT-CELL |> network-address = 4, layer-address = 4, input-value = NIL <|
HIDDEN-LAYER ...
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
OUTPUT-LAYER ...
OUTPUT-CELL |> network-address = 5, layer-address = 1, net-value = NIL, threshold = 0.10000000000000001,
 +++ activation-value = NIL, output-value = NIL <|
SYNAPSE-SPACE...
SYNAPSE...
INPUT-CELL |> network-address = 4, layer-address = 4, input-value = NIL <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.29999999999999999
SYNAPSE...
INPUT-CELL |> network-address = 3, layer-address = 3, input-value = NIL <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.90000000000000002
SYNAPSE...
INPUT-CELL |> network-address = 2, layer-address = 2, input-value = NIL <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.90000000000000002
SYNAPSE...
INPUT-CELL |> network-address = 1, layer-address = 1, input-value = NIL <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.5
SYNAPSE-SPACE...
SYNAPSE...
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
OUTPUT-CELL |> network-address = 5, layer-address = 1, net-value = NIL, threshold = 0.10000000000000001,
 +++ activation-value = NIL, output-value = NIL <|
weight = 0.80000000000000004
establish weights
synapse1
weight= 0.80000000000000004
synapse1
weight= 0.20000000000000001
synapse1
weight= 0.20000000000000001
synapse1
weight= 0.40000000000000002
INPUT-LAYER ...
INPUT-CELL |> network-address = 1, layer-address = 1, input-value = NIL <|
INPUT-CELL |> network-address = 2, layer-address = 2, input-value = NIL <|
INPUT-CELL |> network-address = 3, layer-address = 3, input-value = NIL <|
INPUT-CELL |> network-address = 4, layer-address = 4, input-value = NIL <|
HIDDEN-LAYER ...
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
OUTPUT-LAYER ...
OUTPUT-CELL |> network-address = 5, layer-address = 1, net-value = NIL, threshold = 0.10000000000000001,
 +++ activation-value = NIL, output-value = NIL <|
SYNAPSE-SPACE...
SYNAPSE...
INPUT-CELL |> network-address = 4, layer-address = 4, input-value = NIL <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.80000000000000004
SYNAPSE...
INPUT-CELL |> network-address = 3, layer-address = 3, input-value = NIL <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.20000000000000001
SYNAPSE...
INPUT-CELL |> network-address = 2, layer-address = 2, input-value = NIL <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.20000000000000001
SYNAPSE...
INPUT-CELL |> network-address = 1, layer-address = 1, input-value = NIL <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.40000000000000002
SYNAPSE-SPACE...
SYNAPSE...
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
OUTPUT-CELL |> network-address = 5, layer-address = 1, net-value = NIL, threshold = 0.10000000000000001,
 +++ activation-value = NIL, output-value = NIL <|
weight = 0.90000000000000002
INPUT-LAYER ...
INPUT-CELL |> network-address = 1, layer-address = 1, input-value = NIL <|
INPUT-CELL |> network-address = 2, layer-address = 2, input-value = NIL <|
INPUT-CELL |> network-address = 3, layer-address = 3, input-value = NIL <|
INPUT-CELL |> network-address = 4, layer-address = 4, input-value = NIL <|
HIDDEN-LAYER ...
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
OUTPUT-LAYER ...
OUTPUT-CELL |> network-address = 5, layer-address = 1, net-value = NIL, threshold = 0.59999999999999998,
 +++ activation-value = NIL, output-value = NIL <|
SYNAPSE-SPACE...
SYNAPSE...
INPUT-CELL |> network-address = 4, layer-address = 4, input-value = NIL <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.80000000000000004
SYNAPSE...
INPUT-CELL |> network-address = 3, layer-address = 3, input-value = NIL <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.20000000000000001
SYNAPSE...
INPUT-CELL |> network-address = 2, layer-address = 2, input-value = NIL <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.20000000000000001
SYNAPSE...
INPUT-CELL |> network-address = 1, layer-address = 1, input-value = NIL <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.40000000000000002
SYNAPSE-SPACE...
SYNAPSE...
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
OUTPUT-CELL |> network-address = 5, layer-address = 1, net-value = NIL, threshold = 0.59999999999999998,
 +++ activation-value = NIL, output-value = NIL <|
weight = 0.90000000000000002
establish inputs
inputs are (1 1 1 1)
INPUT-LAYER ...
INPUT-CELL |> network-address = 1, layer-address = 1, input-value = 1 <|
INPUT-CELL |> network-address = 2, layer-address = 2, input-value = 1 <|
INPUT-CELL |> network-address = 3, layer-address = 3, input-value = 1 <|
INPUT-CELL |> network-address = 4, layer-address = 4, input-value = 1 <|
HIDDEN-LAYER ...
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
OUTPUT-LAYER ...
OUTPUT-CELL |> network-address = 5, layer-address = 1, net-value = NIL, threshold = 0.59999999999999998,
 +++ activation-value = NIL, output-value = NIL <|
SYNAPSE-SPACE...
SYNAPSE...
INPUT-CELL |> network-address = 4, layer-address = 4, input-value = 1 <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.80000000000000004
SYNAPSE...
INPUT-CELL |> network-address = 3, layer-address = 3, input-value = 1 <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.20000000000000001
SYNAPSE...
INPUT-CELL |> network-address = 2, layer-address = 2, input-value = 1 <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.20000000000000001
SYNAPSE...
INPUT-CELL |> network-address = 1, layer-address = 1, input-value = 1 <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.40000000000000002
SYNAPSE-SPACE...
SYNAPSE...
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
OUTPUT-CELL |> network-address = 5, layer-address = 1, net-value = NIL, threshold = 0.59999999999999998,
 +++ activation-value = NIL, output-value = NIL <|
weight = 0.90000000000000002
establish inputs
inputs are (0 0 0 0)
INPUT-LAYER ...
INPUT-CELL |> network-address = 1, layer-address = 1, input-value = 0 <|
INPUT-CELL |> network-address = 2, layer-address = 2, input-value = 0 <|
INPUT-CELL |> network-address = 3, layer-address = 3, input-value = 0 <|
INPUT-CELL |> network-address = 4, layer-address = 4, input-value = 0 <|
HIDDEN-LAYER ...
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
OUTPUT-LAYER ...
OUTPUT-CELL |> network-address = 5, layer-address = 1, net-value = NIL, threshold = 0.59999999999999998,
 +++ activation-value = NIL, output-value = NIL <|
SYNAPSE-SPACE...
SYNAPSE...
INPUT-CELL |> network-address = 4, layer-address = 4, input-value = 0 <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.80000000000000004
SYNAPSE...
INPUT-CELL |> network-address = 3, layer-address = 3, input-value = 0 <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.20000000000000001
SYNAPSE...
INPUT-CELL |> network-address = 2, layer-address = 2, input-value = 0 <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.20000000000000001
SYNAPSE...
INPUT-CELL |> network-address = 1, layer-address = 1, input-value = 0 <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.40000000000000002
SYNAPSE-SPACE...
SYNAPSE...
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
OUTPUT-CELL |> network-address = 5, layer-address = 1, net-value = NIL, threshold = 0.59999999999999998,
 +++ activation-value = NIL, output-value = NIL <|
weight = 0.90000000000000002
compute net values
find leading synapses 1
SYNAPSE...
INPUT-CELL |> network-address = 1, layer-address = 1, input-value = 0 <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.40000000000000002
weight: 0.40000000000000002
input: 0
SYNAPSE...
INPUT-CELL |> network-address = 2, layer-address = 2, input-value = 0 <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.20000000000000001
weight: 0.20000000000000001
input: 0
SYNAPSE...
INPUT-CELL |> network-address = 3, layer-address = 3, input-value = 0 <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.20000000000000001
weight: 0.20000000000000001
input: 0
SYNAPSE...
INPUT-CELL |> network-address = 4, layer-address = 4, input-value = 0 <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.80000000000000004
weight: 0.80000000000000004
input: 0
find leading synapses 2
INPUT-LAYER ...
INPUT-CELL |> network-address = 1, layer-address = 1, input-value = 0 <|
INPUT-CELL |> network-address = 2, layer-address = 2, input-value = 0 <|
INPUT-CELL |> network-address = 3, layer-address = 3, input-value = 0 <|
INPUT-CELL |> network-address = 4, layer-address = 4, input-value = 0 <|
HIDDEN-LAYER ...
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = 0.0,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
OUTPUT-LAYER ...
OUTPUT-CELL |> network-address = 5, layer-address = 1, net-value = 0.0, threshold = 0.59999999999999998,
 +++ activation-value = NIL, output-value = NIL <|
SYNAPSE-SPACE...
SYNAPSE...
INPUT-CELL |> network-address = 4, layer-address = 4, input-value = 0 <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = 0.0,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.80000000000000004
SYNAPSE...
INPUT-CELL |> network-address = 3, layer-address = 3, input-value = 0 <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = 0.0,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.20000000000000001
SYNAPSE...
INPUT-CELL |> network-address = 2, layer-address = 2, input-value = 0 <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = 0.0,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.20000000000000001
SYNAPSE...
INPUT-CELL |> network-address = 1, layer-address = 1, input-value = 0 <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = 0.0,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
weight = 0.40000000000000002
SYNAPSE-SPACE...
SYNAPSE...
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = 0.0,
 threshold = 0.10000000000000001, +++ activation-value = NIL, output-value = NIL <|
OUTPUT-CELL |> network-address = 5, layer-address = 1, net-value = 0.0, threshold = 0.59999999999999998,
 +++ activation-value = NIL, output-value = NIL <|
weight = 0.90000000000000002
compute-activation-values
INPUT-LAYER ...
INPUT-CELL |> network-address = 1, layer-address = 1, input-value = 0 <|
INPUT-CELL |> network-address = 2, layer-address = 2, input-value = 0 <|
INPUT-CELL |> network-address = 3, layer-address = 3, input-value = 0 <|
INPUT-CELL |> network-address = 4, layer-address = 4, input-value = 0 <|
HIDDEN-LAYER ...
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = 0.0,
 threshold = 0.10000000000000001, +++ activation-value = 0, output-value = NIL <|
OUTPUT-LAYER ...
OUTPUT-CELL |> network-address = 5, layer-address = 1, net-value = 0.0, threshold = 0.59999999999999998,
 +++ activation-value = 0, output-value = NIL <|
SYNAPSE-SPACE...
SYNAPSE...
INPUT-CELL |> network-address = 4, layer-address = 4, input-value = 0 <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = 0.0,
 threshold = 0.10000000000000001, +++ activation-value = 0, output-value = NIL <|
weight = 0.80000000000000004
SYNAPSE...
INPUT-CELL |> network-address = 3, layer-address = 3, input-value = 0 <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = 0.0,
 threshold = 0.10000000000000001, +++ activation-value = 0, output-value = NIL <|
weight = 0.20000000000000001
SYNAPSE...
INPUT-CELL |> network-address = 2, layer-address = 2, input-value = 0 <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = 0.0,
 threshold = 0.10000000000000001, +++ activation-value = 0, output-value = NIL <|
weight = 0.20000000000000001
SYNAPSE...
INPUT-CELL |> network-address = 1, layer-address = 1, input-value = 0 <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = 0.0,
 threshold = 0.10000000000000001, +++ activation-value = 0, output-value = NIL <|
weight = 0.40000000000000002
SYNAPSE-SPACE...
SYNAPSE...
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = 0.0,
 threshold = 0.10000000000000001, +++ activation-value = 0, output-value = NIL <|
OUTPUT-CELL |> network-address = 5, layer-address = 1, net-value = 0.0, threshold = 0.59999999999999998,
 +++ activation-value = 0, output-value = NIL <|
weight = 0.90000000000000002
compute output values
INPUT-LAYER ...
INPUT-CELL |> network-address = 1, layer-address = 1, input-value = 0 <|
INPUT-CELL |> network-address = 2, layer-address = 2, input-value = 0 <|
INPUT-CELL |> network-address = 3, layer-address = 3, input-value = 0 <|
INPUT-CELL |> network-address = 4, layer-address = 4, input-value = 0 <|
HIDDEN-LAYER ...
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = 0.0,
 threshold = 0.10000000000000001, +++ activation-value = 0, output-value = NIL <|
OUTPUT-LAYER ...
OUTPUT-CELL |> network-address = 5, layer-address = 1, net-value = 0.0, threshold = 0.59999999999999998,
 +++ activation-value = 0, output-value = 0 <|
SYNAPSE-SPACE...
SYNAPSE...
INPUT-CELL |> network-address = 4, layer-address = 4, input-value = 0 <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = 0.0,
 threshold = 0.10000000000000001, +++ activation-value = 0, output-value = NIL <|
weight = 0.80000000000000004
SYNAPSE...
INPUT-CELL |> network-address = 3, layer-address = 3, input-value = 0 <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = 0.0,
 threshold = 0.10000000000000001, +++ activation-value = 0, output-value = NIL <|
weight = 0.20000000000000001
SYNAPSE...
INPUT-CELL |> network-address = 2, layer-address = 2, input-value = 0 <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = 0.0,
 threshold = 0.10000000000000001, +++ activation-value = 0, output-value = NIL <|
weight = 0.20000000000000001
SYNAPSE...
INPUT-CELL |> network-address = 1, layer-address = 1, input-value = 0 <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = 0.0,
 threshold = 0.10000000000000001, +++ activation-value = 0, output-value = NIL <|
weight = 0.40000000000000002
SYNAPSE-SPACE...
SYNAPSE...
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = 0.0,
 threshold = 0.10000000000000001, +++ activation-value = 0, output-value = NIL <|
OUTPUT-CELL |> network-address = 5, layer-address = 1, net-value = 0.0, threshold = 0.59999999999999998,
 +++ activation-value = 0, output-value = 0 <|
weight = 0.90000000000000002
hidden-node-search
about to make-22-dobo
establish weights
synapse1
weight= 0.29999999999999999
synapse1
weight= 0.20000000000000001
synapse1
weight= 0.90000000000000002
synapse1
weight= 0.40000000000000002
return from make dobo
just made it to test dobo
input/output vectors are set
calling apply-nerd-net
inside apply-nerd-net
establish inputs
inputs are (0)
compute net values
find leading synapses 1
SYNAPSE...
INPUT-CELL |> network-address = 1, layer-address = 1, input-value = 0 <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.90000000000000002, +++ activation-value = NIL, output-value = NIL <|
weight = 0.40000000000000002
weight: 0.40000000000000002
input: 0
SYNAPSE...
INPUT-CELL |> network-address = 2, layer-address = 2, input-value = NIL <|
HIDDEN-CELL |> network-address = 4, layer-address = 1, net-value = NIL,
 threshold = 0.90000000000000002, +++ activation-value = NIL, output-value = NIL <|
weight = 0.90000000000000002
weight: 0.90000000000000002
input: NIL

Error: NIL is not of type NUMBER.
Fast links are on: do (si::use-fast-links nil) for debugging
Error signalled by *.
Broken at *.  Type :H for Help.
PCL>>:q

Top level.
PCL>(bye)
rocky-gw - dutton - exam2 > exit

rocky-gw - dutton - exam2 > exit

script done on Mon Nov 29 09:51:41 1999