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authorPaul Oliver <contact@pauloliver.dev>2024-02-29 19:04:34 +0100
committerPaul Oliver <contact@pauloliver.dev>2024-02-29 19:16:14 +0100
commite6ab4a8ed100d5d5b7611c74cf3ccd556f1f1d71 (patch)
tree129cf13c2f9b3eae54402300db4570815789a02a /include/HyperNeat/NeuralNet.hpp
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+#ifndef __HYPERNEAT_NEURALNET_HPP__
+#define __HYPERNEAT_NEURALNET_HPP__
+
+#include <HyperNeat/Utils/Size.hpp>
+#include <HyperNeat/Utils/ValueMap.hpp>
+
+namespace hyperneat
+{
+ class Cppn;
+ class NeuralNetPrms;
+
+ class NeuralNet
+ {
+ public:
+ class Neuron;
+
+ NeuralNet() = default;
+
+ void create(Cppn& cppn, const NeuralNetPrms& nnPrms);
+ void clear();
+
+ size_t getInputsCount() const;
+ size_t getOutputsCount() const;
+ size_t getNeuronsCount() const;
+
+ const Vector<double*>& getInputs() const;
+ const Vector<double*>& getOutputs() const;
+ const Vector<Neuron>& getNeurons() const;
+
+ double getAverageActivation() const;
+
+ double& inputAt(size_t i);
+ double outputAt(size_t i) const;
+
+ void cycle();
+
+ class Neuron
+ {
+ public:
+ enum class Type {
+ INPUT, HIDDEN, OUTPUT
+ };
+
+ Neuron() = default;
+ Neuron(const Point& position, Type type, double bias);
+
+ void appendInput();
+ void flushOutput();
+
+ class Synapse
+ {
+ public:
+ Synapse() = default;
+ Synapse(Neuron* inputNeuron, double weight);
+
+ double* _input = nullptr;
+ Neuron* _neuron = nullptr;
+ double _weight = 0.0;
+ };
+
+ Vector<Synapse> _synapses;
+ Point _position;
+ Type _type = Type::HIDDEN;
+ double _bias = 0.0;
+ double _storedInput = 0.0;
+ double _output = 0.0;
+ };
+
+ private:
+ Vector<double*> _inputs;
+ Vector<double*> _outputs;
+ Vector<Neuron> _neurons;
+
+ friend class Organism;
+ };
+}
+
+#endif