HebbianLearningAlgo.py

#Hebbian
from math import exp
def hebbian(x_list, w, c, flg):
  o = 0
  dptr = 0

  for xx in x_list:
    net = []
    for i in range(len(xx)):
      net.append(xx[i]*w[i])
    print("net is ", sum(net))
    if flg == 'bb':
      if sum(net) < 0:
        o = -1
      else:
        o = 1 
    else:
      o = (2/(1 + exp(-1*sum(net))))-1
        

    print("o is ", o)
  
     
    delw = [c*o*x for x in xx]
    print("Delta w is ", delw)
    wtemp = w
    w = []
    for j in range(len(wtemp)):
      w.append(delw[j]+wtemp[j])
    
    print("w is ", w)
    dptr += 1


print("Hebbian Learning Algorithm")
print("Enter no. of input arrays")
n = int(input())
x_list = []
print("Enter space separated arrays")
for h in range(n):
  ss = list(map(float, input().split(" ")))
  x_list.append(ss)
print("Enter bb for bipolar-binary and bc for bipolar-continuous")
flg = input()

print("Enter value of c")
c = int(input())
print("Enter space separated initial weights")
w = list(map(float, input().split(" ")))


hebbian(x_list, w, c, flg)