GeneralLinearCombiner.cpp

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#include "GeneralLinearCombiner.h"
#include <algorithm>
#include "GeneralNeuron.h"

namespace gplib
  {
    GeneralLinearCombiner::GeneralLinearCombiner(bool wantcached) :
      wchanged(true), bchanged(true), cachedoutput(wantcached)
      {
      }
    GeneralLinearCombiner::~GeneralLinearCombiner()
      {
      }

    double GeneralLinearCombiner::CalcOutput()
      {
        //if we do not want cached output or the weights or the bias has changed
        if (!cachedoutput || wchanged || bchanged)
          {
            // we calculate the output from bias, weights and input values
            Output = Bias;
            const size_t size = Weights.size();
            for (unsigned int i = 0; i < size; ++i)
              Output += (Input.at(i)->GetOutput()) * Weights.at(i);
            // the next call will return the stored results, unless the weights or the bias have changed
            wchanged = false;
            bchanged = false;
          }
        return Output;
      }

    void GeneralLinearCombiner::SetInput(const tinvector &LocalInput)
      {
        const int size = LocalInput.size();
        // initialize the weights
        Weights.assign(size, 0);
        // we reassigned the input, so we have to recalculate the output in any case
        wchanged = true;
        bchanged = true;
        // initialize the Bias
        Bias = 0.0;
        // if we had some input before, clear it
        if (!Input.empty())
          Input.clear();
        //copy the parameter values to the local property
        copy(LocalInput.begin(), LocalInput.end(), back_inserter(Input));
      }
  }