RDN.py 3.1 KB

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  1. from define import *
  2. import numpy
  3. def mult(Addresse,Neuronne, poids):
  4. print (Addresse[30])
  5. 1.7159*numpy.tanh(
  6. 0.66666667*( \
  7. Neuronne[Addresse[0]] * \
  8. Neuronne[Addresse[1]] * \
  9. Neuronne[Addresse[2]] * \
  10. Neuronne[Addresse[3]] * \
  11. Neuronne[Addresse[4]] * \
  12. Neuronne[Addresse[5]] * \
  13. Neuronne[Addresse[6]] * \
  14. Neuronne[Addresse[7]] * \
  15. Neuronne[Addresse[8]] * \
  16. Neuronne[Addresse[9]] * \
  17. Neuronne[Addresse[10]] * \
  18. Neuronne[Addresse[11]] * \
  19. Neuronne[Addresse[12]] * \
  20. Neuronne[Addresse[13]] * \
  21. Neuronne[Addresse[14]] * \
  22. Neuronne[Addresse[15]] * \
  23. Neuronne[Addresse[16]] * \
  24. Neuronne[Addresse[17]] * \
  25. Neuronne[Addresse[18]] * \
  26. Neuronne[Addresse[19]] * \
  27. Neuronne[Addresse[20]] * \
  28. Neuronne[Addresse[21]] * \
  29. Neuronne[Addresse[22]] * \
  30. Neuronne[Addresse[23]] * \
  31. Neuronne[Addresse[24]] * \
  32. Neuronne[Addresse[25]] * \
  33. Neuronne[Addresse[26]] * \
  34. Neuronne[Addresse[27]] * \
  35. Neuronne[Addresse[28]] * \
  36. Neuronne[Addresse[29]] * \
  37. Neuronne[Addresse[30]] * \
  38. poids))
  39. # Fonction d'initialisation du reseau de neuronne
  40. class RDN():
  41. def __init__(self,ID):
  42. self.ID = ID
  43. self.C1 = [0]*NBC1
  44. self.C2 = [0]*NBC2
  45. self.C3 = [0]*NBC3
  46. self.C4 = [0]*NBC4
  47. self.C5 = [0]*NBC5
  48. #print (self.C1)
  49. path = D_file + str(ID) + "/"
  50. #changer les addresse des fichier des poids avec l'ID
  51. F_add2=open(path + "Addresse2.pos","r")
  52. F_add3=open(path + "Addresse3.pos","r")
  53. F_add4=open(path + "Addresse4.pos","r")
  54. F_add5=open(path + "Addresse5.pos","r")
  55. F_Poid2=open(path + "poids2.wei","r")
  56. F_Poid3=open(path + "poids3.wei","r")
  57. F_Poid4=open(path + "poids4.wei","r")
  58. F_Poid5=open(path + "poids5.wei","r")
  59. self.add2 = []
  60. self.add3 = []
  61. self.add4 = []
  62. self.add5 = []
  63. self.poid2 = []
  64. self.poid3 = []
  65. self.poid4 = []
  66. self.poid5 = []
  67. for i in F_add2:
  68. data = i.strip('][\n').split(', ')
  69. tmp=[]
  70. for j in data:
  71. tmp.append(int(j))
  72. self.add2.append(tmp)
  73. for i in F_add3:
  74. data = i.strip('][\n').split(', ')
  75. tmp=[]
  76. for j in data:
  77. tmp.append(int(j))
  78. self.add3.append(tmp)
  79. for i in F_add4:
  80. data = i.strip('][\n').split(', ')
  81. tmp=[]
  82. for j in data:
  83. tmp.append(int(j))
  84. self.add4.append(tmp)
  85. for i in F_add5:
  86. data = i.strip('][\n').split(', ')
  87. tmp=[]
  88. for j in data:
  89. tmp.append(int(j))
  90. self.add5.append(tmp)
  91. for i in F_Poid2:
  92. self.poid2.append(float(i))
  93. for i in F_Poid3:
  94. self.poid3.append(float(i))
  95. for i in F_Poid4:
  96. self.poid4.append(float(i))
  97. for i in F_Poid5:
  98. self.poid5.append(float(i))
  99. def MiseAJourC1(self,tab):
  100. self.C1 = tab
  101. def tour(self):
  102. for i in range(len(self.C2)):
  103. #print (self.C1)
  104. self.C2[i]=mult(self.add2[i],self.C1,self.poid2[i])
  105. for i in range(len(self.C3)):
  106. self.C3[i]=mult(self.add3[i],self.C2,self.poid3[i])
  107. for i in range(len(C4)):
  108. self.C4[i]=mult(self.add4[i],self.C3,self.poid4[i])
  109. for i in range(len(self.C5)):
  110. self.C5[i]=mult(self.add5[i],self.C4,self.poid5[i])
  111. return self.C5