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#include "SimpleRN.hpp"
SimpleRN::SimpleRN(unsigned inputCount, unsigned hiddenNodeCount, unsigned outputCount, NodeClass nodeClass, bool zeroed)
: SingleMLP(0, 0, 0, NEURON, true)
{
m_context.resize(hiddenNodeCount, 0.f);
m_hiddenLayer = NodeLayer(inputCount + hiddenNodeCount, hiddenNodeCount, nodeClass, zeroed);
m_outputLayer = NodeLayer(hiddenNodeCount, outputCount, nodeClass, zeroed);
m_inputCount = inputCount;
m_hiddenNodeCount = hiddenNodeCount;
m_outputCount = outputCount;
m_nodeClass = nodeClass;
}
std::vector<float> SimpleRN::io(const std::vector<float> &inputs)
{
std::vector<float> response;
if (inputs.size() != m_inputCount)
{
return response;
}
response.insert(response.end(), inputs.begin(), inputs.end());
response.insert(response.end(), m_context.begin(), m_context.end());
response = m_hiddenLayer.io(response);
m_context = response;
response = m_outputLayer.io(response);
return response;
}
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