The methods of the RadialBasisFunctionLayer class are listed below. For a complete list of RadialBasisFunctionLayer class members, see the RadialBasisFunctionLayer Members topic.
Public Instance Methods
 AddNext (inherited from BasicLayer) | Overloaded. Add a layer as the next layer. The layer will be added with a weighted synapse. |
| AddSynapse (inherited from BasicLayer) | Add a synapse to the list of outbound synapses. Usually you should simply call the addLayer method to add to the outbound list. |
| Clone (inherited from BasicLayer) | Clone this object. |
| Compute | Compute the values before sending output to the next layer. This function allows the activation functions to be called. |
| CreatePersistor | Create a persistor for this layer. |
| Equals (inherited from Object) | |
| GetHashCode (inherited from Object) | |
| GetType (inherited from Object) | |
| IsConnectedTo (inherited from BasicLayer) | Determine if this layer is connected to another layer. |
| IsSelfConnected (inherited from BasicLayer) | Determine if this layer is self-connected. |
| Process (inherited from BasicLayer) | Process the input pattern. For the basic layer, nothing is done. This is how the context layer gets a chance to record the input. Other similar functions, where access is needed to the input. |
| RandomizeGaussianCentersAndWidths | Set the gausian components to random values. |
| Recur (inherited from BasicLayer) | Get the output from this layer when called in a recurrent manor. For the BaiscLayer, this is not implemented. |
| ToString (inherited from BasicLayer) | Convert this object to a string. |
Protected Instance Methods
 Finalize (inherited from Object) | |
| MemberwiseClone (inherited from Object) |
See Also
RadialBasisFunctionLayer Class | Encog.Neural.Networks.Layers Namespace