private void SetPool2PoolInterconnections(ReservoirSettings.PoolsInterconnection cfg)
{
PoolSettings targetPoolSettings = _settings.PoolSettingsCollection[cfg.TargetPoolID];
PoolSettings sourcePoolSettings = _settings.PoolSettingsCollection[cfg.SourcePoolID];
int[] targetIndices = new int[targetPoolSettings.Dim.Size];
targetIndices.ShuffledIndices(_rand);
int numOfTargetNeurons = (int)Math.Round(targetPoolSettings.Dim.Size * cfg.TargetConnectionDensity, 0);
int[] srcIndices = new int[sourcePoolSettings.Dim.Size];
srcIndices.Indices();
int numOfSrcNeurons = (int)Math.Round(sourcePoolSettings.Dim.Size * cfg.SourceConnectionDensity, 0);
for (int i = 0; i < numOfTargetNeurons; i++)
{
INeuron targetneuron = _poolNeuronsCollection[cfg.TargetPoolID][targetIndices[i]];
_rand.Shuffle(srcIndices);
for (int j = 0; j < numOfSrcNeurons; j++)
{
INeuron srcNeuron = _poolNeuronsCollection[cfg.SourcePoolID][srcIndices[j]];
StaticSynapse synapse = new StaticSynapse(srcNeuron,
targetneuron,
_rand.NextDouble(cfg.SynapseWeight.Min, cfg.SynapseWeight.Max, cfg.SynapseWeight.RandomSign, cfg.SynapseWeight.DistrType)
);
AddInterconnection(_neuronNeuronConnectionsCollection, synapse, false);
}
}
return;
}
private void SetPoolRandInterconnections(int poolID, PoolSettings poolSettings)
{
int connectionsPerNeuron = (int)Math.Round(poolSettings.Dim.Size * poolSettings.InterconnectionDensity, 0);
if (connectionsPerNeuron > 0)
{
int[] indices = new int[poolSettings.Dim.Size];
indices.Indices();
for (int targetNeuronIdx = 0; targetNeuronIdx < poolSettings.Dim.Size; targetNeuronIdx++)
{
_rand.Shuffle(indices);
int addedSynapses = 0;
for (int i = 0; i < indices.Length && addedSynapses < connectionsPerNeuron; i++)
{
int srcNeuronIdx = indices[i];
if (poolSettings.InterconnectionAllowSelfConn || srcNeuronIdx != targetNeuronIdx)
{
StaticSynapse synapse = new StaticSynapse(_poolNeuronsCollection[poolID][srcNeuronIdx],
_poolNeuronsCollection[poolID][targetNeuronIdx],
_rand.NextDouble(poolSettings.InterconnectionSynapseWeight.Min, poolSettings.InterconnectionSynapseWeight.Max, poolSettings.InterconnectionSynapseWeight.RandomSign, poolSettings.InterconnectionSynapseWeight.DistrType)
);
AddInterconnection(_neuronNeuronConnectionsCollection, synapse, false);
++addedSynapses;
}
}
}
}
return;
}
private void SetPoolDistInterconnections(int poolID, PoolSettings poolSettings)
{
int connectionsPerNeuron = (int)Math.Round(poolSettings.Dim.Size * poolSettings.InterconnectionDensity, 0);
if (connectionsPerNeuron > 0)
{
for (int targetNeuronIdx = 0; targetNeuronIdx < poolSettings.Dim.Size; targetNeuronIdx++)
{
List <INeuron> srcNeurons = SelectNeuronsByDistance(_poolNeuronsCollection[poolID][targetNeuronIdx], _poolNeuronsCollection[poolID], poolSettings.InterconnectionAvgDistance, connectionsPerNeuron + (poolSettings.InterconnectionAllowSelfConn ? 0 : 1));
int addedSynapses = 0;
for (int i = 0; i < srcNeurons.Count && addedSynapses < connectionsPerNeuron; i++)
{
if (poolSettings.InterconnectionAllowSelfConn || srcNeurons[i] != _poolNeuronsCollection[poolID][targetNeuronIdx])
{
StaticSynapse synapse = new StaticSynapse(srcNeurons[i],
_poolNeuronsCollection[poolID][targetNeuronIdx],
_rand.NextDouble(poolSettings.InterconnectionSynapseWeight.Min, poolSettings.InterconnectionSynapseWeight.Max, poolSettings.InterconnectionSynapseWeight.RandomSign, poolSettings.InterconnectionSynapseWeight.DistrType)
);
AddInterconnection(_neuronNeuronConnectionsCollection, synapse, false);
++addedSynapses;
}
}
}
}
return;
}
private void SetPoolInputConnections(int poolID, PoolSettings poolSettings)
{
int connectionsPerInput = (int)Math.Round(poolSettings.Dim.Size * poolSettings.InputConnectionDensity, 0);
if (connectionsPerInput > 0)
{
int[] indices = new int[poolSettings.Dim.Size];
indices.Indices();
for (int inpIdx = 0; inpIdx < _inputNeurons.Length; inpIdx++)
{
_rand.Shuffle(indices);
for (int i = 0; i < connectionsPerInput; i++)
{
int targetNeuronIdx = indices[i];
StaticSynapse synapse = new StaticSynapse(_inputNeurons[inpIdx],
_poolNeuronsCollection[poolID][targetNeuronIdx],
_rand.NextDouble(poolSettings.InputSynapseWeight.Min, poolSettings.InputSynapseWeight.Max, poolSettings.InputSynapseWeight.RandomSign, poolSettings.InputSynapseWeight.DistrType)
);
AddInterconnection(_neuronInputConnectionsCollection, synapse, false);
}
}
}
return;
}
