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#include "brain/neural_network.h"
#include "brain/neuron.h"
NeuralNetwork::NeuralNetwork(std::istream &&networkConfigFile, int numberOfSensors, int numberOfOutputs)
{
_biasNode = std::make_shared<BiasNode>();
for (int i=0; i<numberOfSensors; ++i)
{
_sensors[i] = std::make_shared<Sensor>(i);
}
for (int i=0; i<numberOfOutputs; ++i)
{
_outputs[i] = std::make_shared<Neuron>(i);
}
parseFile(std::move(networkConfigFile));
}
NeuralNetwork::NeuralNetwork(std::istream &&networkConfigFile, std::vector<bool> sensorInitialValues, int numberOfOutputs)
{
_biasNode = std::make_shared<BiasNode>();
for (int i=0; i<sensorInitialValues.size(); ++i)
{
auto sensor = std::make_shared<Sensor>(i);
sensor->setActivation(sensorInitialValues.at(i) ? 1 : 0);
_sensors[i] = sensor;
}
for (int i=0; i<numberOfOutputs; ++i)
{
_outputs[i] = std::make_shared<Neuron>(i);
}
parseFile(std::move(networkConfigFile));
}
void NeuralNetwork::parseFile(std::istream &&file)
{
double weight;
for (std::string src, dest;
file >> src && file >> dest && file >> weight; )
{
char srcType = src.at(0);
int srcId = std::stoi(src.substr(1));
char destType = dest.at(0);
int destId = std::stoi(dest.substr(1));
std::shared_ptr<NeuralNode> source;
std::shared_ptr<Neuron> destination;
switch (srcType)
{
case 's':
source = findOrAddSensor(srcId);
break;
case 'b':
source = _biasNode;
break;
case 'n':
source = findOrAddNeuron(srcId);
break;
default:
throw 1;
}
switch (destType)
{
case 'n':
destination = findOrAddNeuron(destId);
break;
default:
throw 1;
}
addLink(source, destination, weight);
}
}
void NeuralNetwork::addLink(std::shared_ptr<NeuralNode> source, std::shared_ptr<Neuron> destination, double weight)
{
auto link = std::make_shared<NeuralLink>(source, weight);
destination->addInput(link);
}
std::shared_ptr<Sensor> NeuralNetwork::findOrAddSensor(int id)
{
bool sensorExists = _sensors.count(id) > 0;
if (!sensorExists)
{
_sensors[id] = std::make_shared<Sensor>(id);
}
return _sensors.at(id);
}
std::shared_ptr<Neuron> NeuralNetwork::findOrAddNeuron(int id)
{
bool isOutput = _outputs.count(id) > 0;
if (isOutput)
{
return _outputs.at(id);
}
bool hiddenNeuronExists = _hiddenNodes.count(id) > 0;
if (!hiddenNeuronExists)
{
_hiddenNodes[id] = std::make_shared<Neuron>(id);
}
return _hiddenNodes.at(id);
}
void NeuralNetwork::setInput(int inputIndex, double activation)
{
_sensors.at(inputIndex)->setActivation(activation);
}
int NeuralNetwork::findMaxOutputIndex() const
{
double currentMaxActivation = 0;
int currentMaxIndex = 0;
for (std::pair<const int, std::shared_ptr<Neuron>> outputPair : _outputs)
{
double activation = outputPair.second->activation();
if (activation >= currentMaxActivation)
{
currentMaxActivation = activation;
currentMaxIndex = outputPair.first;
}
}
return currentMaxIndex;
}
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