All pastes #107269 Raw Edit

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#107269 ·published 2006-07-30 23:04 UTC
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############################################################################
#    Copyright (C) 2006 by Bruk Habtu   #
#    bruk@themightyowl.com   #
#                                                                          #
#    This program is free software; you can redistribute it and#or modify  #
#    it under the terms of the GNU General Public License as published by  #
#    the Free Software Foundation; either version 2 of the License, or     #
#    (at your option) any later version.                                   #
#                                                                          #
#    This program is distributed in the hope that it will be useful,       #
#    but WITHOUT ANY WARRANTY; without even the implied warranty of        #
#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the         #
#    GNU General Public License for more details.                          #
#                                                                          #
#    You should have received a copy of the GNU General Public License     #
#    along with this program; if not, write to the                         #
#    Free Software Foundation, Inc.,                                       #
#    59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.             #
############################################################################

class brain:
	def __init__(self):
		self.inputs = []
		self.hidden = []
		self.outputs = []
		
class neuron:
	def __init__(self, threshhold ):
		self.output = None #the node to output to
		self.threshhold = threshhold #threshhold
		
		self.w = [] #inputs
		
		self.active = 0 #0 means not active
		
	def setOutput(self, neuron, weight):
		self.output = neuron
		self.output.addInput(self, weight)
		
	def addInput(self, neuron, weight)
		self.w.append((neuron,weight))
		
	def processInputs(self):
		sum = 0
		for n,w in self.w:
			sum += (n.active * w)
		if sum => self.threshhold:
			self.active = 1
		else:
			self.active = 0