GeneralLinearCombiner.cpp

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#include "GeneralLinearCombiner.h"
#include <algorithm>
#include "GeneralNeuron.h"
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));
}

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