75 lines
2.3 KiB
C++
75 lines
2.3 KiB
C++
#pragma once
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/*
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* Copyright (C) 2024 Brett Terpstra
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*
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* This program is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program. If not, see <https://www.gnu.org/licenses/>.
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*/
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#ifndef COSC_4P80_ASSIGNMENT_3_NEURON_H
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#define COSC_4P80_ASSIGNMENT_3_NEURON_H
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#include <vector>
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#include <assign3/fwdecl.h>
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#include "blt/std/types.h"
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#include <assign3/functions.h>
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namespace assign3
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{
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class neuron_t
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{
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public:
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explicit neuron_t(blt::size_t dimensions, Scalar x, Scalar y): x_pos(x), y_pos(y)
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{
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data.resize(dimensions);
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}
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neuron_t& randomize(blt::size_t seed);
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neuron_t& update(const std::vector<Scalar>& new_data, Scalar dist, Scalar eta);
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static Scalar distance(distance_function_t* dist_func, const neuron_t& n1, const neuron_t& n2);
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[[nodiscard]] Scalar dist(const std::vector<Scalar>& X) const;
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neuron_t& set_activation(Scalar act)
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{
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activation = act;
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return *this;
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}
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void activate(Scalar act)
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{ activation += act; }
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[[nodiscard]] const std::vector<Scalar>& get_data() const
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{ return data; }
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[[nodiscard]] Scalar get_x() const
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{ return x_pos; }
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[[nodiscard]] Scalar get_y() const
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{ return y_pos; }
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[[nodiscard]] Scalar get_activation() const
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{ return activation; }
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private:
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Scalar x_pos, y_pos;
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Scalar activation = 0;
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std::vector<Scalar> data;
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};
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}
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#endif //COSC_4P80_ASSIGNMENT_3_NEURON_H
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