/////////////////////////////////////////////////////////////////////
//  layer.cpp - implements collection of nodes                     //
//            - These layers are over-simplified.  They are not    //
//              interconnected to form networks and no optim-      //
//              ization processing is implemented.                 //
//            - Their purpose is simply to show how an abstract    //
//              factory pattern could be applied to the construct- //
//              tion of a neural network.                          //
//                                                                 //
//  Jim Fawcett, CSE776 - Design Patterns, Summer 2004             //
/////////////////////////////////////////////////////////////////////

#include <iostream>
#include "layer.h"
#include "node.h"
using namespace std;

void inputLayer::addNode() {

  inputNode node;
  nodes.push_back(node);
}

void inputLayer::useLayer() {

  for(unsigned int i=0; i<nodes.size(); i++)
    nodes[i].compute();
}

void hiddenLayer::addNode() {

  hiddenNode node;
  nodes.push_back(node);
}

void hiddenLayer::useLayer() {

  for(unsigned int i=0; i<nodes.size(); i++)
    nodes[i].compute();
}

void outputLayer::addNode() {

  outputNode node;
  nodes.push_back(node);
}

void outputLayer::useLayer() {

  for(unsigned int i=0; i<nodes.size(); i++)
    nodes[i].compute();
}