[FormatVersion = 1.0]

[NeuralNetwork]
[NetworkType = MLP]

[NetworkInformation]
[NumberOfLayers = 4]
[InputLayer = 1]
[OutputLayer = 3]
[NumberOfInputs = 4]
[NumberOfOutputs = 3]
[BiasLayer = 0]
[~NetworkInformation]

[Layer = 0]
[LayerType = Simple]
[NumberOfNeurons = 1]
[All ActivationFunction=bias ]
[~Layer]

[Layer = 1]
[LayerType = Input]
[NumberOfNeurons = 4]
[All ActivationFunction=linear ]
[~Layer]

[Layer = 2]
[LayerType = Gain]
[NumberOfNeurons = 10]
[All ActivationFunction=sigmoid ]
[All Gain=1.000000000000000 ]
[~Layer]

[Layer = 3]
[LayerType = Gain]
[NumberOfNeurons = 3]
[All ActivationFunction=sigmoid ]
[All Gain=1.000000000000000 ]
[~Layer]

[ConnectionLayer]
[LayerFrom = 0]
[LayerTo = 2]
[ConnectionType = Pruneable]
[Attributes Pruneable Freezable ]
[Matrix Weights TrainableInfo ]
/* To->              0                      1                      2                      3                      4                      5                      6                      7                      8                      9  From */
     -3.240302743614 T     3.49147007660146 T     -4.9755851924192 T     1.12445448164312 T     2.48558000427259 T     2.07296975615711 T     0.76036866359447 T    -4.07193212683493 T   -0.693533127842036 T     4.45646534623249 T  /* 0 */
[~Matrix]
[~ConnectionLayer]

[ConnectionLayer]
[LayerFrom = 0]
[LayerTo = 3]
[ConnectionType = Pruneable]
[Attributes Pruneable Freezable ]
[Matrix Weights TrainableInfo ]
/* To->              0                      1                      2  From */
   -2.97265541550951 T     4.03897213660085 T     1.74794763023774 T  /* 0 */
[~Matrix]
[~ConnectionLayer]

[ConnectionLayer]
[LayerFrom = 1]
[LayerTo = 2]
[ConnectionType = Pruneable]
[Attributes Pruneable Freezable ]
[Matrix Weights TrainableInfo ]
/* To->              0                      1                      2                      3                      4                      5                      6                      7                      8                      9  From */
    1.38691366313669 T     3.24457533494064 T    -3.96267586291086 T    -4.22238837855159 T     3.42005676442763 T    -2.44499038666951 T    -2.95190282906583 T    0.800042725913266 T    -3.17041535691397 T    -2.14133121738334 T  /* 0 */
   -3.61262855922117 T    -2.87072359385968 T    -3.37641529587695 T    -1.24225592822047 T     1.39057588427381 T     4.76500747703482 T    -3.18689535203101 T     -3.7038789025544 T   -0.289162877285073 T     2.90551469466231 T  /* 1 */
     1.5477462080752 T   -0.646839808343761 T   -0.991698965422529 T     4.91851557969909 T    -2.42973113193152 T    -2.51182592242195 T     4.59624011963256 T     2.68028809472945 T     3.63582262642293 T     1.18610187078463 T  /* 2 */
   -4.32187871944334 T     -4.0881069368572 T    -3.20184942167425 T    -0.76311532944731 T      2.5563829462569 T     4.69420453505051 T   -0.887020477919858 T     1.89657277138585 T    -2.54631183812983 T    -3.72127445295572 T  /* 3 */
[~Matrix]
[~ConnectionLayer]

[ConnectionLayer]
[LayerFrom = 2]
[LayerTo = 3]
[ConnectionType = Pruneable]
[Attributes Pruneable Freezable ]
[Matrix Weights TrainableInfo ]
/* To->              0                      1                      2  From */
   -4.41221350749229 T    -4.83916745506149 T     3.60499893185217 T  /* 0 */
    3.33918271431623 T    -2.36320078127384 T      2.3467207861568 T  /* 1 */
   -1.23737296670431 T      -2.436750389111 T    -4.94872890408032 T  /* 2 */
    3.19483016449477 T     1.07562486648152 T     1.94936979277932 T  /* 3 */
   0.850398266548662 T    -2.70561845759453 T   -0.307168797875912 T  /* 4 */
    3.92361217078158 T     1.25812555314798 T     3.30805383465072 T  /* 5 */
    1.23279519028291 T    -1.20014038514359 T    -4.68291268654439 T  /* 6 */
  -0.472884304330576 T     1.20014038514359 T     1.32953886532182 T  /* 7 */
    1.83584093752861 T    -4.04110843226417 T    0.799432355723746 T  /* 8 */
    4.38352610858486 T   0.0703451643421735 T    -2.89910580767235 T  /* 9 */
[~Matrix]
[~ConnectionLayer]

[~NeuralNetwork]