프로퍼티 | 타입 | 설명 | |
---|---|---|---|
_DeltaL | double |
메소드 | 설명 | |
---|---|---|
Error ( double t, |
Calculates and returns the error derivative (Delta) of this node.
|
|
Evaluate ( ) : double |
Calculates and returns the Node's Output value. Input is equal to the weights multiplied by the source Neuron's Output. |
|
GetId ( ) : int |
Gets the current identifier assigned when creating new nodes.
|
|
Neuron ( ) : System | ||
Neuron ( bool isBias ) : System |
Default constructor.
|
|
Reset ( |
Propogates a reset event downstream through the network.
|
|
SetId ( int startId ) : void |
Sets the starting identifier used when creating new nodes. When rebuilding networks across sessions it is recommended that the identifier is set to the last used identifier.
|
|
ToString ( ) : string |
Returns a string that represents the current object.
|
|
Update ( |
Propagates a weight update event upstream through the network using the supplied learning rate.
|
public Error ( double t, |
||
t | double | Error derivative from the previous layer (n + 1). |
properties | Network training properties. | |
리턴 | double |
public Reset ( |
||
properties | Network training properties. | |
리턴 | void |
public Update ( |
||
properties | Network training properties. | |
리턴 | void |