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| Clone Mass | Clones in CloneSet | Parameter Count | Clone Similarity | Syntax Category [Sequence Length] |
|---|---|---|---|---|
| 17 | 2 | 0 | 1.000 | stmt_list[2] |
| Clone Abstraction | Parameter Bindings |
| Clone Instance (Click to see clone) | Line Count | Source Line | Source File |
|---|---|---|---|
| 1 | 16 | 127 | Bio/NeuralNetwork/BackPropagation/Layer.py |
| 2 | 17 | 219 | Bio/NeuralNetwork/BackPropagation/Layer.py |
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# first backpropogate to the next layers
next_errors = self._next_layer.backpropagate(outputs,learning_rate,momentum)
for this_node in self.nodes:
for next_node in self._next_layer.nodes:
error_deriv = (next_errors[next_node]*self.values[this_node])
delta = (learning_rate*error_deriv+momentum*self.weight_changes[(this_node,next_node)])
# apply the change to the weight
self.weights[(this_node,next_node)]+=delta
# remember the weight change for next time
self.weight_changes[(this_node,next_node)] = delta
|
| ||||
# first backpropogate to the next layers
next_errors = self._next_layer.backpropagate(outputs,learning_rate,momentum)
# --- update the weights
for this_node in self.nodes:
for next_node in self._next_layer.nodes:
error_deriv = (next_errors[next_node]*self.values[this_node])
delta = (learning_rate*error_deriv+momentum*self.weight_changes[(this_node,next_node)])
# apply the change to the weight
self.weights[(this_node,next_node)]+=delta
# remember the weight change for next time
self.weight_changes[(this_node,next_node)] = delta
# --- calculate error terms
|
| |||
# first backpropogate to the next layers
next_errors = self._next_layer.backpropagate(outputs,learning_rate,momentum)
# --- update the weights
for this_node in self.nodes:
for next_node in self._next_layer.nodes:
error_deriv = (next_errors[next_node]*self.values[this_node])
delta = (learning_rate*error_deriv+momentum*self.weight_changes[(this_node,next_node)])
# apply the change to the weight
self.weights[(this_node,next_node)]+=delta
# remember the weight change for next time
self.weight_changes[(this_node,next_node)] = delta
# --- calculate error terms
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| CloneAbstraction |
| Parameter Index | Clone Instance | Parameter Name | Value |
|---|---|---|---|
| None | |||