Ejemplo n.º 1
0
from self_organising_map import SelfOrganisingMap
from voronoi import Voronoi
from tools import SpacialGenerator, Logger
import sys, getopt

# the 'main' routine
if __name__ == "__main__":
    try:
        opts, args = getopt.getopt(sys.argv[1:], "x:y:n:l:m:s:e:d", [
            "dim_x=", "dim_y=", "neurons=", "learning=", "min_euclidean=",
            "spacial=", "epochs="
        ])
    except getopt.GetoptError:
        sys.exit(2)

    Logger.output("options: {0}".format(opts))
    Logger.output("arguments: {0}".format(args))

    neurons = 10
    x = 800
    y = 600
    learning_rate = 0.1
    min_euclidean = 0.01
    epochs = 1000
    spacial = SpacialGenerator.line

    for opt, arg in opts:
        if opt in ("-x", "--dim_x"):
            x = int(arg)
        if opt in ("-y", "--dim_y"):
            y = int(arg)
Ejemplo n.º 2
0
 def __init__(self, neurons = 40, threshold = -1):
     Logger.output("creating network")
     self.neurons = [Neuron(i, neurons, threshold) for i in range(neurons)]
     Logger.output("created network with {0} neurons".format(len(self.neurons)))
Ejemplo n.º 3
0
from self_organising_map import SelfOrganisingMap
from voronoi import Voronoi
from tools import SpacialGenerator, Logger
import sys, getopt

# the 'main' routine 
if __name__ == "__main__":
    try:
        opts, args = getopt.getopt(sys.argv[1:], 
                "x:y:n:l:m:s:e:d", 
                ["dim_x=", "dim_y=", "neurons=", "learning=", "min_euclidean=", "spacial=", "epochs="]) 
    except getopt.GetoptError:           
        sys.exit(2)                     

    Logger.output("options: {0}".format(opts))
    Logger.output("arguments: {0}".format(args))

    neurons = 10
    x = 800
    y = 600
    learning_rate = 0.1
    min_euclidean = 0.01
    epochs = 1000
    spacial = SpacialGenerator.line

    for opt, arg in opts:                
        if opt in ("-x", "--dim_x"):      
            x = int(arg)
        if opt in ("-y", "--dim_y"):      
            y = int(arg)
        if opt in ("-n", "--neurons"):      
Ejemplo n.º 4
0
    if inn == None: inn = urls
    if neurons == None: neurons = 40
    hophop = HopfieldNet(neurons, threshold)
    hophop.learn(inn)
    hophop.test(inn)

    if retrieve != None: hophop.retrieve(retrieve)

if __name__ == "__main__":
    """ the main routine """
    try:
        opts, args = getopt.getopt(sys.argv[1:], "i:n:r:t:dm", ["input=", "manual", "neurons=", "retrieve=", "threshold="]) 
    except getopt.GetoptError:           
        sys.exit(2)                     

    Logger.output("options: {0}".format(opts))
    Logger.output("arguments: {0}".format(args))

    neurons = None
    inn = None
    retrieve = None
    threshold = -1

    for opt, arg in opts:                
        if opt in ("--manual"):      
            inn = args
        if opt in ("-n", "--neurons"):      
            neurons = int(arg)
        if opt == '-d':                
            Logger.debug = True
        if opt in ("-r", "--retrieve"):