1 files changed, 40 insertions, 0 deletions
diff --git a/FullyRN.cpp b/FullyRN.cpp
new file mode 100644
index 0000000..ecc88d5
--- /dev/null
+++ b/FullyRN.cpp
@@ -0,0 +1,40 @@
+#include "FullyRN.hpp"
+
+FullyRN::FullyRN(unsigned inputCount, unsigned hiddenNodeCount, unsigned outputCount, NodeClass nodeClass, bool zeroed)
+:   DualMLP(0, 0, 0, NEURON, true)
+{
+    unsigned contextSize = inputCount + hiddenNodeCount + outputCount;
+    m_context.resize(contextSize, 0.f);
+
+    m_firstHiddenLayer = NodeLayer(inputCount + contextSize, inputCount, nodeClass, zeroed);
+    m_secondHiddenLayer = NodeLayer(contextSize, hiddenNodeCount, nodeClass, zeroed);
+    m_outputLayer = NodeLayer(contextSize, outputCount, nodeClass, zeroed);
+
+    m_inputCount = inputCount;
+    m_hiddenNodeCount = hiddenNodeCount;
+    m_outputCount = outputCount;
+    m_nodeClass = nodeClass;
+}
+
+std::vector<float> FullyRN::io(const std::vector<float> &inputs)
+{
+    std::vector<float> response;
+
+    if (inputs.size() != m_inputCount)
+    {
+        return response;
+    }
+
+    auto stateInput = inputs;
+    stateInput.insert(stateInput.end(), m_context.begin(), m_context.end());
+    response = m_firstHiddenLayer.io(stateInput);
+
+    auto hiddenOutput = m_secondHiddenLayer.io(m_context);
+    response.insert(response.end(), hiddenOutput.begin(), hiddenOutput.end());
+
+    auto outputOutput = m_outputLayer.io(m_context);
+    response.insert(response.end(), outputOutput.begin(), outputOutput.end());
+
+    m_context = response;
+    return outputOutput;
+}