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  1.                   ================================
  2.                   Description of the tool NETLEARN
  3.                   ================================
  4.  
  5. This program is a SNNS kernel backpropagation test program.
  6. It's a demo for using the SNNS kernel interface to train networks.
  7.  
  8.  
  9. synopsis: netlearn
  10.  
  11. example:
  12.  
  13. unix >netlearn
  14.  
  15. produces
  16.  
  17.  
  18. SNNS 3D-Kernel V3.1000
  19. ----  Network Learning -----
  20.  
  21. Filename of the network file: ../../../examples/letters_untrained.net
  22. Loading the network ...
  23.  
  24. Network name: letters
  25. No. of units       : 71
  26. No. of input units : 35
  27. No. of output units: 26
  28. No. of sites: 0
  29. No. of links: 610
  30.  
  31. Learning function: Std_Backpropagation
  32. Update function  : Topological_Order
  33.  
  34. Filename of the pattern file: ../../../examples/letters.pat
  35. Loading the patterns ...
  36.  
  37. No. of patterns: 26
  38.  
  39. The learning function 'Std_Backpropagation' needs 2 input parameters:
  40. Parameter [1]: 0.6
  41. Parameter [2]: 0.2
  42.  
  43. Choose no. of cycles: 250
  44.  
  45.  
  46. Shuffle patterns ? (Y/N): n
  47.  
  48. Shuffleing of patterns disabled
  49.  
  50. Begin learning ...
  51.  
  52. Cycle: 1
  53. Learning function value(s): [1]: 54.971806  
  54.  
  55. Cycle: 14
  56. Learning function value(s): [1]: 20.768957  
  57.  
  58. Cycle: 27
  59. Learning function value(s): [1]: 18.673342  
  60.  
  61. Cycle: 40
  62. Learning function value(s): [1]: 16.126991  
  63.  
  64. Cycle: 53
  65. Learning function value(s): [1]: 13.680001  
  66.  
  67. Cycle: 66
  68. Learning function value(s): [1]: 11.072329  
  69.  
  70. Cycle: 79
  71. Learning function value(s): [1]: 8.855511  
  72.  
  73. Cycle: 92
  74. Learning function value(s): [1]: 6.888253  
  75.  
  76. Cycle: 105
  77. Learning function value(s): [1]: 5.557242  
  78.  
  79. Cycle: 118
  80. Learning function value(s): [1]: 4.468373  
  81.  
  82. Cycle: 131
  83. Learning function value(s): [1]: 3.632325  
  84.  
  85. Cycle: 144
  86. Learning function value(s): [1]: 2.725383  
  87.  
  88. Cycle: 157
  89. Learning function value(s): [1]: 1.964378  
  90.  
  91. Cycle: 170
  92. Learning function value(s): [1]: 1.818217  
  93.  
  94. Cycle: 183
  95. Learning function value(s): [1]: 1.142782  
  96.  
  97. Cycle: 196
  98. Learning function value(s): [1]: 1.099230  
  99.  
  100. Cycle: 209
  101. Learning function value(s): [1]: 0.756542  
  102.  
  103. Cycle: 222
  104. Learning function value(s): [1]: 0.631204  
  105.  
  106. Cycle: 235
  107. Learning function value(s): [1]: 0.331756  
  108.  
  109. Cycle: 248
  110. Learning function value(s): [1]: 0.000000  
  111.  
  112. Cycle: 250
  113. Learning function value(s): [1]: 0.000000  
  114.  
  115. End learning ...
  116.  
  117. Calculating the last error of the network ...
  118. The error is: 22.0737
  119.  
  120.  
  121. Filename of the network to save: letters_trained.net
  122. Saving the network ...
  123.  
  124.