The Lund Neural Network Program - JETNET version 3.1
              ******  Latest date of change: Feb. 2, 1994   ******


                      Initialized for a 3 layered net with
                        1 nodes in layer number 2 (output layer)
                        8 nodes in layer number 1
                        4 nodes in layer number 0 (input layer)

                      Standard Back-Propagation updating.

                      Weights and thresholds set randomly
Training using 2 event classes over    10 epochs with  50 bins
UNSETR called
Minimum decay length significance: 3.000
Minimum vertex multuplicity      :     3
Initialisation complete - total of   6032 good patterns
Fraction in class 1: .2455
Fraction in class 2: .7545
Training using   4524 events, testing using   1508
Event cache filled with   6032 events (space for  10000)
After   1 epochs, trainFoM= .1010+- .0154 
                  test FoM= .1776+- .0221 
After   2 epochs, trainFoM= .1828+- .0138 
                  test FoM= .1990+- .0220 
After   3 epochs, trainFoM= .1923+- .0137 
                  test FoM= .1806+- .0220 
After   4 epochs, trainFoM= .1991+- .0136 
                  test FoM= .1822+- .0220 
After   5 epochs, trainFoM= .2101+- .0135 
                  test FoM= .1891+- .0219 
After   6 epochs, trainFoM= .2054+- .0134 
                  test FoM= .1892+- .0216 
After   7 epochs, trainFoM= .2043+- .0134 
                  test FoM= .2025+- .0213 
After   8 epochs, trainFoM= .2108+- .0133 
                  test FoM= .1912+- .0216 
After   9 epochs, trainFoM= .2098+- .0133 
                  test FoM= .1952+- .0213 
After  10 epochs, trainFoM= .2124+- .0132 
                  test FoM= .1927+- .0215 
NETTRA finished - summary
Nodename            FoM +- error
Input  1 class 1   .1215+- .0132
Input  1 class 2   .1215+- .0132
Input  2 class 1   .0431+- .0144
Input  2 class 2   .0431+- .0144
Input  3 class 1   .1700+- .0118
Input  3 class 2   .1700+- .0118
Input  4 class 1   .0346+- .0146
Input  4 class 2   .0346+- .0146
       trainFoM +- error testFoM +-error
Output 1   .2124+- .0132   .1927+- .0215
UNFIN: Input ntuple closed