lucasamparo

Output from ANN_MLP code

May 12th, 2016
59
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  1. Training data:
  2. getNSample 100
  3. getSamples
  4. [53.028278;
  5. 19.925919;
  6. 40.105942;
  7. 81.438507;
  8. 43.713299;
  9. 24.878969;
  10. 77.310501;
  11. 76.209373;
  12. 30.779448;
  13. 70.243172;
  14. 47.844719;
  15. 79.219002;
  16. 8.5843124;
  17. 7.5060234;
  18. 16.342339;
  19. 29.977922;
  20. 90.565392;
  21. 70.968582;
  22. 14.971249;
  23. 76.543991;
  24. 12.428139;
  25. 0.37285995;
  26. 55.15136;
  27. 99.819931;
  28. 15.899216;
  29. 16.117805;
  30. 3.8189316;
  31. 42.586132;
  32. 84.612762;
  33. 88.760452;
  34. 26.471239;
  35. 27.078304;
  36. 95.26664;
  37. 67.51313;
  38. 81.021637;
  39. 18.396019;
  40. 9.4456177;
  41. 81.590332;
  42. 52.451767;
  43. 38.083885;
  44. 41.199478;
  45. 25.553534;
  46. 94.489594;
  47. 90.012344;
  48. 45.789158;
  49. 84.130692;
  50. 28.030012;
  51. 38.543571;
  52. 45.190147;
  53. 87.543358;
  54. 15.941505;
  55. 64.928658;
  56. 42.545689;
  57. 67.995041;
  58. 34.952942;
  59. 60.071671;
  60. 27.786469;
  61. 64.982025;
  62. 43.575867;
  63. 78.762268;
  64. 30.389759;
  65. 7.758007;
  66. 63.589592;
  67. 66.73494;
  68. 74.775352;
  69. 32.611881;
  70. 37.447639;
  71. 54.064941;
  72. 3.514019;
  73. 31.352436;
  74. 81.599388;
  75. 66.987;
  76. 64.65493;
  77. 9.3020096;
  78. 80.687904;
  79. 81.840256;
  80. 87.030975;
  81. 1.5843811;
  82. 82.176254;
  83. 27.341431;
  84. 74.286942;
  85. 87.833694;
  86. 25.319765;
  87. 21.054749;
  88. 47.044621;
  89. 18.503527;
  90. 60.176689;
  91. 55.045517;
  92. 52.363243;
  93. 21.195061;
  94. 77.888969;
  95. 0.16515732;
  96. 41.418922;
  97. 77.817337;
  98. 33.32077;
  99. 79.873756;
  100. 89.428955;
  101. 84.827957;
  102. 93.545044;
  103. 46.671734]
  104. getResponses
  105. [84.443771;
  106. 3.7859535;
  107. 72.47551;
  108. 55.815529;
  109. 85.918625;
  110. 13.86338;
  111. 54.506943;
  112. 83.290985;
  113. 17.355247;
  114. 10.345989;
  115. 26.784887;
  116. 12.765667;
  117. 22.433367;
  118. 52.70216;
  119. 62.657177;
  120. 36.008774;
  121. 46.901485;
  122. 61.760254;
  123. 98.908836;
  124. 10.372097;
  125. 69.157448;
  126. 56.235802;
  127. 63.620705;
  128. 54.051491;
  129. 74.73642;
  130. 51.504337;
  131. 3.9408607;
  132. 20.149323;
  133. 7.2340698;
  134. 44.439362;
  135. 73.013184;
  136. 59.165985;
  137. 32.19413;
  138. 57.744415;
  139. 59.926292;
  140. 13.853638;
  141. 58.270008;
  142. 22.532478;
  143. 90.273575;
  144. 44.81078;
  145. 69.838989;
  146. 51.841675;
  147. 62.227566;
  148. 67.003517;
  149. 18.038586;
  150. 76.760941;
  151. 48.091999;
  152. 14.776985;
  153. 8.7737045;
  154. 79.512688;
  155. 76.009094;
  156. 89.046341;
  157. 79.173859;
  158. 28.012165;
  159. 0.67640686;
  160. 44.779228;
  161. 25.379351;
  162. 97.675301;
  163. 61.39407;
  164. 44.37241;
  165. 60.792133;
  166. 34.160416;
  167. 80.044762;
  168. 29.65703;
  169. 6.4745636;
  170. 38.626884;
  171. 93.064514;
  172. 62.580772;
  173. 55.334892;
  174. 18.666897;
  175. 7.3361473;
  176. 9.1694221;
  177. 85.461746;
  178. 60.888542;
  179. 81.028;
  180. 83.303375;
  181. 44.305092;
  182. 82.480156;
  183. 52.60598;
  184. 48.972481;
  185. 72.679604;
  186. 39.0065;
  187. 31.628754;
  188. 23.81835;
  189. 90.506393;
  190. 4.0368385;
  191. 33.317131;
  192. 37.735668;
  193. 92.699753;
  194. 65.415642;
  195. 59.506046;
  196. 30.931084;
  197. 94.524231;
  198. 2.6991234;
  199. 74.629204;
  200. 61.575024;
  201. 7.8380966;
  202. 97.528458;
  203. 68.815262;
  204. 98.312943]
  205.  
  206. matSample:
  207. [53.028278;
  208. 19.925919;
  209. 40.105942;
  210. 81.438507]
  211.  
  212. matResults:
  213. [99.278107;
  214. 97.31398;
  215. 97.313843;
  216. 99.306259]
RAW Paste Data