create NEAT app repo

NeuronGene.cpp

@@ -0,0 +1,71 @@
+#include "NeuronGene.h"
+
+#include <cassert>
+
+#include "Innovator.h"
+
+// construct a bias neuron
+NeuronGene::NeuronGene(Innovator& innovator) :
+	Gene( innovator.GetNeuronInnovation(-1,-1,m_x_position,m_y_position) ),
+	m_x_position(0.0f),
+	m_y_position(0.0f),
+	m_type(BIAS)
+{
+	// empty
+}
+
+// construct input|output neuron
+NeuronGene::NeuronGene(Innovator& innovator, int type, int index, int total) :
+	m_type(type)
+{
+	assert(type == INPUT || type == OUTPUT);
+
+	if ( type == INPUT )
+	{
+		m_x_position = (float)(index+1)/(float)(total);
+		m_y_position = 0.0f;
+		m_innovation = innovator.GetNeuronInnovation(-(index+2),-1,m_x_position,m_y_position);
+	}
+	else
+	{
+		m_x_position = (float)(index+1)/(float)(total+1); // TODO this isn't in the right position
+		m_y_position = 1.0f;
+		m_innovation = innovator.GetNeuronInnovation(-1,-(index+2),m_x_position,m_y_position);
+	}
+}
+
+// construct hidden neuron
+NeuronGene::NeuronGene(Innovator& innovator, const NeuronGene& prev, const NeuronGene& next) :
+	Gene( innovator.GetNeuronInnovation(prev.m_innovation,next.m_innovation,m_x_position,m_y_position) ),
+	m_x_position((prev.m_x_position+next.m_x_position)/2.0f),
+	m_y_position((prev.m_y_position+next.m_y_position)/2.0f),
+	m_type(HIDDEN)
+{
+	// empty
+}
+
+bool NeuronGene::operator< (const NeuronGene& rhs) const
+{
+	return static_cast<Gene>(*this) < rhs;
+}
+
+bool NeuronGene::operator== (const NeuronGene& rhs) const
+{
+	return static_cast<Gene>(*this) == rhs;
+}
+
+
+int NeuronGene::GetType() const
+{
+	return m_type;
+}
+
+float NeuronGene::GetX() const
+{
+	return m_x_position;
+}
+
+float NeuronGene::GetY() const
+{
+	return m_y_position;
+}