NeuralNet.cpp

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// MIT License
//
// Copyright (c) 2019 Ian Parberry
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to
// deal in the Software without restriction, including without limitation the
// rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
// sell copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
// IN THE SOFTWARE.

#include "NeuralNet.h"

// CNeuron functions.


CNeuron::CNeuron(CVertex* p0, CVertex* p1, UINT index):
  CEdge(p0, p1, index){
} //constructor


int CNeuron::GetState(){
  return m_nState;
} //GetState


bool CNeuron::IsStable(){
  return m_nOldState == m_nState;
} //GetOldState


void CNeuron::SetState(int n){
  m_nOldState = m_nState; 
  m_nState = n;
} //SetState


bool CNeuron::GetOutput(){
  return m_bOutput;
} //GetOutput


void CNeuron::SetOutput(bool b){
  m_bOutput = b;
} //SetOutput

// CNeuralNet functions.


CNeuralNet::CNeuralNet(UINT  n, int seed): CGraph(n){
  ::srand(seed); //seed the default PRNG
  m_cRandom.srand(); //seed our PRNG
} //constructor


void CNeuralNet::InsertNeuron(UINT i, UINT j){
  if(i >= m_nNumVerts || j >= m_nNumVerts || i == j)return; //bail out

  CVertex* p0 = &m_pVertexList[i]; //first vertex
  CVertex* p1 = &m_pVertexList[j]; //second vertex

  CNeuron* pEdge = new CNeuron(p0, p1, m_nNumEdges++); //edge between them

  m_vEdgeList.push_back(pEdge); //append edge to edge list
  p0->InsertAdjacency(pEdge); //append edge to adjacency list of first vertex
  p1->InsertAdjacency(pEdge); //append edge to adjacency list of second vertex
} //InsertNeuron