def __init__(self):
print "GenericANN: Constructor called"
self.__layers = []
self.__links = []
self.__exec_order = []
print "GenericANN: Begin read from script"
io = ann_io()
__ann_data = io.read()
self.__hard_wired = __ann_data.get_hard_wired()
# TODO read training data
print "GenericANN: ", len(__ann_data.get_layers())
random.seed()
print "GenericANN: Initializing GenericANN"
for ann_layer in __ann_data.get_layers():
layer = Layer(ann_layer)
self.__layers.append(layer)
print "GenericANN: Added layer:"
print "------------------------"
layer.printout()
print "------------------------"
for ann_link in __ann_data.get_links():
# Adding layers to links
link = Link(ann_link, self.get_layers())
self.__links.append(link)
# Adding links to layers
for layer in self.get_layers():
if link.getPostLayer().get_name() == layer.get_name():
layer.add_link_in(link)
elif link.getPreLayer().get_name() == layer.get_name():
layer.add_link_out(link)
print "GenericANN: Adding link from: " + link.getPreLayer().get_name() + " to: " + \
link.getPostLayer().get_name()
if (ann_link.get_link_learn_rule() == RULE.OJA):
link.setLearningRule(OjaLearning(ann_link.get_link_learn_rate()))
elif (ann_link.get_link_learn_rule() == RULE.GENERAL):
link.setLearningRule(GeneralHebbLearning(ann_link.get_link_learn_rate(), ann_link.get_link_learn_param()))
elif (ann_link.get_link_learn_rule() == RULE.CLASSICAL):
link.setLearningRule(ClassicalHebbLearning(ann_link.get_link_learn_rate()))
if not link.isHardwired():
link.connect()
else:
for layer in self.__layers:
layer.set_learning(False)
for link in self.__links:
link.setLearningMode(False)
self.__exec_order = __ann_data.get_exec_order()
def __init__(self):
print "GenericANN: Constructor called"
self.__layers = []
self.__links = []
self.__exec_order = []
print "GenericANN: Begin read from script"
io = ann_io()
__ann_data = io.read()
# TODO read training data
print "GenericANN: ", len(__ann_data.get_layers())
random.seed()
print "GenericANN: Initializing GenericANN"
for ann_layer in __ann_data.get_layers():
layer = Layer(ann_layer)
self.__layers.append(layer)
print "GenericANN: Added layer:"
print "------------------------"
layer.printout()
print "------------------------"
for ann_link in __ann_data.get_links():
# Adding layers to links
link = Link(ann_link, self.get_layers())
self.__links.append(link)
# Adding links to layers
for layer in self.get_layers():
if link.getPostLayer().get_name() == layer.get_name():
layer.add_link_in(link)
elif link.getPreLayer().get_name() == layer.get_name():
layer.add_link_out(link)
print "GenericANN: Adding link from: " + link.getPreLayer().get_name() + " to: " + \
link.getPostLayer().get_name()
if (ann_link.get_link_learn_rule() == RULE.OJA):
link.setLearningRule(
OjaLearning(ann_link.get_link_learn_rate()))
elif (ann_link.get_link_learn_rule() == RULE.GENERAL):
link.setLearningRule(
GeneralHebbLearning(ann_link.get_link_learn_rate(),
ann_link.get_link_learn_param()))
elif (ann_link.get_link_learn_rule() == RULE.CLASSICAL):
link.setLearningRule(
ClassicalHebbLearning(ann_link.get_link_learn_rate()))
link.connect()
self.__exec_order = __ann_data.get_exec_order()
