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#include "brain/neural_network.h"
#include "brain/neuron.h"
#include <limits>
NeuralNetwork::NeuralNetwork(std::istream &&networkConfigFile, unsigned int numberOfSensors, unsigned int numberOfOutputs)
{
_neurons.reserve(400);
_sensors.reserve(numberOfSensors);
_outputs.reserve(numberOfOutputs);
_biasNode = std::make_shared<BiasNode>();
for (unsigned int i=0; i<numberOfSensors; ++i)
{
auto sensor = std::make_shared<Sensor>(i);
_sensors.push_back(sensor);
}
for (unsigned int i=0; i<numberOfOutputs; ++i)
{
auto output = findOrAddNeuron(i);
_outputs.push_back(output);
}
parseFile(std::move(networkConfigFile));
}
NeuralNetwork::NeuralNetwork(std::istream &&networkConfigFile, std::vector<bool> sensorInitialValues, unsigned int numberOfOutputs)
{
_neurons.reserve(400);
_sensors.reserve(sensorInitialValues.size());
_outputs.reserve(numberOfOutputs);
_biasNode = std::make_shared<BiasNode>();
for (unsigned int i=0; i<sensorInitialValues.size(); ++i)
{
auto sensor = std::make_shared<Sensor>(i);
sensor->setActivation(sensorInitialValues[i] ? 1 : 0);
_sensors.push_back(sensor);
}
for (unsigned int i=0; i<numberOfOutputs; ++i)
{
auto output = findOrAddNeuron(i);
_outputs.push_back(output);
}
parseFile(std::move(networkConfigFile));
}
void NeuralNetwork::parseFile(std::istream &&file)
{
double weight;
char srcType;
unsigned int srcId;
unsigned int destId;
while (file.get(srcType) &&
file >> srcId &&
file.ignore(std::numeric_limits<std::streamsize>::max(), 'n') &&
file >> destId &&
file >> weight &&
file.ignore(std::numeric_limits<std::streamsize>::max(), '\n'))
{
std::shared_ptr<NeuralNode> source;
std::shared_ptr<Neuron> destination;
switch (srcType)
{
case 's':
source = findOrAddSensor(srcId);
break;
case 'b':
source = _biasNode;
break;
default:
source = findOrAddNeuron(srcId);
}
destination = findOrAddNeuron(destId);
addLink(source, destination, weight);
}
}
void NeuralNetwork::addLink(std::shared_ptr<NeuralNode> source, std::shared_ptr<Neuron> destination, double weight)
{
NeuralLink link(source.get(), weight);
destination->addInput(std::move(link));
}
std::shared_ptr<Sensor> NeuralNetwork::findOrAddSensor(unsigned int id)
{
while (_sensors.size() <= id)
{
auto sensor = std::make_shared<Sensor>(_sensors.size());
_sensors.push_back(sensor);
}
return _sensors.at(id);
}
std::shared_ptr<Neuron> NeuralNetwork::findOrAddNeuron(unsigned int id)
{
while (_neurons.size() <= id)
{
auto neuron = std::make_shared<Neuron>(_neurons.size());
_neurons.push_back(neuron);
}
return _neurons.at(id);
}
void NeuralNetwork::setInput(unsigned int inputIndex, double activation)
{
_sensors.at(inputIndex)->setActivation(activation);
}
unsigned int NeuralNetwork::findMaxOutputIndex() const
{
bool anyNodeChanged = true;
auto maxIterations = _neurons.size()*10;
for (unsigned int iteration=0; anyNodeChanged && iteration<maxIterations; ++iteration)
{
anyNodeChanged = false;
for (auto const& neuron : _neurons)
{
bool activationChanged = neuron->calculateActivation();
anyNodeChanged = anyNodeChanged || activationChanged;
}
}
int currentMaxIndex = 0;
double currentMaxActivation = _outputs.at(0)->activation();
for (unsigned int i=1; i<_outputs.size(); ++i)
{
double activation = _outputs.at(i)->activation();
if (activation >= currentMaxActivation)
{
currentMaxActivation = activation;
currentMaxIndex = i;
}
}
return currentMaxIndex;
}
bool NeuralNetwork::linkExists(std::string srcIdentifier, std::string destIdentifier, double weight) const
{
std::shared_ptr<Neuron> dest;
for (auto const& node : _neurons)
{
if (node->identifier() == destIdentifier)
{
dest = node;
}
}
if (!dest)
{
return false;
}
return dest->hasInputWithWeight(srcIdentifier, weight);
}
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