public IntegerFastConcurrentNetwork(int biasNeuronCount,
int inputNeuronCount,
int outputNeuronCount,
int totalNeuronCount,
IntegerFastConnection[] connectionArray)
{
this.biasNeuronCount = biasNeuronCount;
this.inputNeuronCount = inputNeuronCount;
this.totalInputNeuronCount = biasNeuronCount + inputNeuronCount;
this.outputNeuronCount = outputNeuronCount;
this.connectionArray = connectionArray;
//----- Allocate the arrays that make up the neural network.
// The neuron signals are initialised to 0 by default. Only bias nodes need setting to 1.
neuronSignalArray = new int[totalNeuronCount];
_neuronSignalArray = new int[totalNeuronCount];
for(int i=0; i<biasNeuronCount; i++)
neuronSignalArray[i] = 0x1000;
}
// This is a quick sort algorithm that manipulates FastConnection structures. Although this
// is the same sorting technique used internally by Array.Sort this is approximately 10 times
// faster because it eliminates the need for boxing and unboxing of the structs.
// So although this code could be replcaed by a single Array.Sort statement, the pay off
// was though to be worth it.
private static int CompareKeys(ref IntegerFastConnection a, ref IntegerFastConnection b)
{
int diff = a.sourceNeuronIdx - b.sourceNeuronIdx;
if(diff==0)
{
// Secondary sort on targetNeuronIdx.
return a.targetNeuronIdx - b.targetNeuronIdx;
}
else
{
return diff;
}
}