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authorPaul Oliver <contact@pauloliver.dev>2024-02-29 03:15:03 +0100
committerPaul Oliver <contact@pauloliver.dev>2024-02-29 03:15:30 +0100
commit6fd23da97fa9700f59c61a966b4bf7d25fa46b34 (patch)
treed5fe3a8305a5f57e5b4cedc8300e951c74696cc5 /DualMLP.cpp
initial commitHEADmaster
Diffstat (limited to 'DualMLP.cpp')
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+#include "DualMLP.hpp"
+
+DualMLP::DualMLP(unsigned inputCount, unsigned hiddenNodeCount, unsigned outputCount, NodeClass nodeClass, bool zeroed)
+: m_firstHiddenLayer (inputCount, hiddenNodeCount, nodeClass, zeroed),
+ m_secondHiddenLayer (hiddenNodeCount, hiddenNodeCount, nodeClass, zeroed),
+ m_outputLayer (hiddenNodeCount, outputCount, nodeClass, zeroed)
+{
+ m_inputCount = inputCount;
+ m_hiddenNodeCount = hiddenNodeCount;
+ m_outputCount = outputCount;
+ m_nodeClass = nodeClass;
+}
+
+void DualMLP::setChromosome(const Chromosome &chromosome)
+{
+ if (chromosome.size() != getChromosomeSize())
+ {
+ return;
+ }
+
+ auto l1 = chromosome.begin() + m_firstHiddenLayer.getChromosomeSize();
+ auto l2 = l1 + m_secondHiddenLayer.getChromosomeSize();
+
+ Chromosome chr1(chromosome.begin(), l1);
+ Chromosome chr2(l1, l2);
+ Chromosome chr3(l2, chromosome.end());
+
+ m_firstHiddenLayer.setChromosome(chr1);
+ m_secondHiddenLayer.setChromosome(chr2);
+ m_outputLayer.setChromosome(chr3);
+}
+
+Chromosome DualMLP::getChromosome() const
+{
+ Chromosome chromosome;
+
+ Chromosome chr1 = m_firstHiddenLayer.getChromosome();
+ Chromosome chr2 = m_secondHiddenLayer.getChromosome();
+ Chromosome chr3 = m_outputLayer.getChromosome();
+
+ chromosome.insert(chromosome.end(), chr1.begin(), chr1.end());
+ chromosome.insert(chromosome.end(), chr2.begin(), chr2.end());
+ chromosome.insert(chromosome.end(), chr3.begin(), chr3.end());
+
+ return chromosome;
+}
+
+unsigned DualMLP::getChromosomeSize() const
+{
+ unsigned chrSize = 0;
+ chrSize += m_firstHiddenLayer.getChromosomeSize();
+ chrSize += m_secondHiddenLayer.getChromosomeSize();
+ chrSize += m_outputLayer.getChromosomeSize();
+
+ return chrSize;
+}
+
+std::vector<float> DualMLP::io(const std::vector<float> &inputs)
+{
+ std::vector<float> response;
+
+ if (inputs.size() != m_inputCount)
+ {
+ return response;
+ }
+
+ response = m_firstHiddenLayer.io(inputs);
+ response = m_secondHiddenLayer.io(response);
+ response = m_outputLayer.io(response);
+
+ return response;
+}