//Added this
void hiddenLayer::calculate(inputLayer iL, weights wil)
{
for(int j=0; j < numHidden; j++)
{
//clear value
setNeuron(j, 0);
//get weighted sum of pattern and bias neuron
for( int i=0; i <= iL.getInputs(); i++ )
{
setNeuron(j, (getNeuron(j) + (iL.getNeuron(i) * wil.getWeight(i,j))));
}
//set to result of sigmoid
setNeuron(j, activationFunction(getNeuron(j)));
}
}
//Added this
void outputLayer::calculate(hiddenLayer hL, weights who)
{
for(int k=0; k < numOutput; k++)
{
//clear value
setNeuron(k, 0);
//get weighted sum of pattern and bias neuron
for( int j=0; j <= hL.getNumHidden(); j++ )
{
setNeuron(k, (getNeuron(k) + (hL.getNeuron(j) * who.getWeight(j,k))));
}
//set to result of sigmoid
setNeuron(k, activationFunction(getNeuron(k)));
}
}
nemo_status_t
nemo_set_neuron_iz_s(nemo_simulation_t sim,
unsigned idx,
float a, float b, float c, float d,
float u, float v, float sigma)
{
CATCH_(sim, setNeuron(idx, a, b, c, d, u, v, sigma));
}
nemo_status_t
nemo_set_neuron_iz_n(nemo_network_t net,
unsigned idx,
float a, float b, float c, float d,
float u, float v, float sigma)
{
CATCH_(net, setNeuron(idx, a, b, c, d, u, v, sigma));
}
nemo_status_t
nemo_set_neuron_s(nemo_simulation_t sim, unsigned idx, unsigned nargs, float args[])
{
CATCH_(sim, setNeuron(idx, nargs, args));
}
nemo_status_t
nemo_set_neuron_n(nemo_network_t net, unsigned idx, unsigned nargs, float args[])
{
CATCH_(net, setNeuron(idx, nargs, args));
}
