Mathesis Wiki

<code python> from future import division # import numpy as np import math

def activeFunc(value):

  '''Setzt den Wert in die Sigmoid-Funktion ein.'''
  # print "input:", value
  return 1/(1+math.e**(-value))

def derivedActFunc(value):

  return (math.e**-value)/(1+math.e**-value)**2

class Neuron():

  def __init__(self, weights):
      self.weights = weights
      self.additionalInput = 0
      self.inputs = 0
      self.value = 0
      self.isActive = False
      # print "Weights:", self.weights, "(" + str(len(self.weights)) + ")"

  def processInput(self, inputs):
      '''Verarbeitet den Input, indem es jeden Wert mit seinem Gewicht
          multipliziert und das Ergebnis in die Sigmoid-Funktion einsetzt.'''
      value = self.additionalInput
      self.inputs = inputs
      for i in range(len(inputs)):
          value += self.weights[i]*inputs[i]
      self.value = value
      self.output = activeFunc(value)
      self.isActive = self.output >= 0.5

  def setWeights(self, weights):
      self.weights = weights

  def printNeuron(self):
      return 'N:' + str(len(self.weights)), self.weights

<code>