def __init__(self,input_num=2,function_name='hardlim',weight=None,bias=None,data_set=None,learning_rate=0.2,max_error=0,max_epoch=-1):
TwoLayersNeuralNetwork.__init__(self, input_num, input_num, function_name, weight, bias, data_set,learning_rate,max_error,max_epoch)
for i in range(len(self.net.layer_to_layer_weight['in_to_out'])):
self.net.layer_to_layer_weight['in_to_out'][i][i]=0
for i in range(len(self.net.layer_to_layer_weight['in_to_out'])):
for j in range(len(self.net.layer_to_layer_weight['in_to_out'][0])):
self.net.layer_to_layer_weight['in_to_out'][i][j]=self.net.layer_to_layer_weight['in_to_out'][j][i]
self.net.updateNeuronToNeuronWeightByLayerToLayerWeight()
def __init__(
self,
input_num=2,
output_num=2,
function_name="purelin",
weight=None,
bias=None,
data_set=None,
learning_rate=0.2,
max_error=0,
max_epoch=-1,
):
TwoLayersNeuralNetwork.__init__(
self, input_num, output_num, function_name, weight, bias, data_set, learning_rate, max_error, max_epoch
)
def showNetworkSimulation(self):
TwoLayersNeuralNetwork.showNetworkSimulation(self)
def returnNeuronBuilder(self):
return TwoLayersNeuralNetwork.returnNeuronBuilder(self)
def setMaxEpoch(self,max_epoch):
TwoLayersNeuralNetwork.setMaxEpoch(self, max_epoch)
def setMaxError(self,max_error):
TwoLayersNeuralNetwork.setMaxError(self, max_error)
def setLearningRate(self,learning_rate):
TwoLayersNeuralNetwork.setLearningRate(self, learning_rate)
def plotFigure(self):
TwoLayersNeuralNetwork.plotFigure(self)
def train(self):
TwoLayersNeuralNetwork.train(self)
def setDataSet(self,data_set):
TwoLayersNeuralNetwork.setDataSet(self, data_set)
def activate(self,input_list):
return TwoLayersNeuralNetwork.activate(self, input_list)
