virtual protected void Calculate(float[] dataArr, float[] outArr)
{
double[] outData = _net.Compute(_sampleTestData);
for (int i = 0; i < outData.Length; i++)
{
outArr[i] = (float)outData[i];
}
}
static NEATNetworkTest()
{
// Create Network
_net = new NEATNetwork();
_net.InputCount = _inputCount;
_net.OutputCount = _outputCount;
_net.ActivationCycles = 4;
_net.OutputIndex = _net.InputCount + 1;
_net.Links = new NEATLink[(int)(_net.InputCount * _net.OutputCount * 1.5)];
Random rand = new Random();
for (int i = 0; i < _net.Links.Length; i++)
{
_net.Links[i] = new NEATLink()
{
FromNeuron = rand.Next(_net.Links.Length),
ToNeuron = rand.Next(_net.Links.Length),
Weight = (rand.NextDouble() - 0.5) * 0.02,
};
}
_net.PreActivation = new double[_net.Links.Length];
_net.PostActivation = new double[_net.Links.Length];
// Create sampleData;
_sampleTestData = new double[_inputCount];
_sampleResultData = new double[_outputCount];
for (int i = 0; i < _inputCount; i++)
{
_sampleTestData[i] = rand.NextDouble() * 2 - 1;
}
_sampleResultData = _net.Compute(_sampleTestData);
}
static NEATNetworkTest()
{
// Create Network
_net = new NEATNetwork();
_net.InputCount = _inputCount;
_net.OutputCount = _outputCount;
_net.ActivationCycles = 4;
_net.OutputIndex = _net.InputCount + 1;
_net.Links = new NEATLink[(int)(_net.InputCount * _net.OutputCount * 1.5)];
Random rand = new Random();
for (int i = 0; i < _net.Links.Length; i++)
{
_net.Links[i] = new NEATLink()
{
FromNeuron = rand.Next(_net.Links.Length),
ToNeuron = rand.Next(_net.Links.Length),
Weight = (rand.NextDouble() - 0.5) * 0.02,
};
}
_net.PreActivation = new double[_net.Links.Length];
_net.PostActivation = new double[_net.Links.Length];
// Create sampleData;
_sampleTestData = new double[_inputCount];
_sampleResultData = new double[_outputCount];
for (int i = 0; i < _inputCount; i++)
{
_sampleTestData[i] = rand.NextDouble() * 2 - 1;
}
_sampleResultData = _net.Compute(_sampleTestData);
}