/*
* Encog(tm) Core v3.4 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2016 Heaton Research, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.neural.freeform;
import java.util.List;
/**
* This interface defines a freeform neuron. By freeform that this neuron is not
* necessarily part of a layer.
*/
public interface FreeformNeuron extends TempTrainingData {
/**
* Add an input connection to this neuron.
*
* @param inputConnection
* The input connection.
*/
void addInput(FreeformConnection inputConnection);
/**
* Add an output connection to this neuron.
*
* @param outputConnection
* The output connection.
*/
void addOutput(FreeformConnection outputConnection);
/**
* @return The activation for this neuron. This is the final output after
* the activation function has been applied.
*/
double getActivation();
/**
* @return The input summation method.
*/
InputSummation getInputSummation();
/**
* @return The outputs from this neuron.
*/
List<FreeformConnection> getOutputs();
/**
* @return The output sum for this neuron. This is the output prior to the
* activation function being applied.
*/
double getSum();
/**
* @return True, if this is a bias neuron.
*/
boolean isBias();
/**
* Perform the internal calculation for this neuron.
*/
void performCalculation();
/**
* Set the activation, or final output for this neuron.
* @param activation THe activation.
*/
void setActivation(double activation);
/**
* Determine if this neuron is a bias neuron.
* @param b True, if this neuron is considered a bias neuron.
*/
void setBias(boolean b);
/**
* Set the input summation method.
* @param theInputSummation The input summation method.
*/
void setInputSummation(InputSummation theInputSummation);
/**
* Update the context value for this neuron.
*/
void updateContext();
}