From 6fd23da97fa9700f59c61a966b4bf7d25fa46b34 Mon Sep 17 00:00:00 2001
From: Paul Oliver <contact@pauloliver.dev>
Date: Thu, 29 Feb 2024 03:15:03 +0100
Subject: initial commit

---
 Neuron.cpp | 57 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 57 insertions(+)
 create mode 100644 Neuron.cpp

(limited to 'Neuron.cpp')

diff --git a/Neuron.cpp b/Neuron.cpp
new file mode 100644
index 0000000..647d525
--- /dev/null
+++ b/Neuron.cpp
@@ -0,0 +1,57 @@
+#include "Neuron.hpp"
+
+Neuron::Neuron(unsigned inputCount, bool zeroed)
+{
+    m_inputCount = inputCount;
+
+    while (inputCount--)
+    {
+        m_weights.push_back(zeroed ? 0.f : realRand(-1.f, 1.f));
+    }
+
+    m_bias = zeroed ? 0.f : realRand(-1.f, 1.f);
+}
+
+void Neuron::setChromosome(const Chromosome &chromosome)
+{
+    unsigned chrSize = getChromosomeSize();
+
+    if (chrSize != chromosome.size())
+    {
+        return;
+    }
+
+    m_weights = Chromosome(chromosome.begin(), chromosome.end() - 1);
+    m_bias = chromosome.back();
+}
+
+Chromosome Neuron::getChromosome() const
+{
+    Chromosome chromosome;
+
+    for (auto &i : m_weights)
+    {
+        chromosome.push_back(i);
+    }
+
+    chromosome.push_back(m_bias);
+
+    return chromosome;
+}
+
+float Neuron::io(const std::vector<float> &inputs)
+{
+    float response = 0.f;
+
+    if (inputs.size() != m_inputCount)
+    {
+        return response;
+    }
+
+    for (unsigned i = 0; i < m_inputCount; ++i)
+    {
+        response += inputs[i] * m_weights[i];
+    }
+
+    return sigmoid(response - m_bias);
+}
-- 
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