109 lines
2.7 KiB
C++
109 lines
2.7 KiB
C++
#include <iostream>
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#include <array>
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#include <string>
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#include "NeuronsNetworkBase.h"
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using data_item = std::array<double, 7>;
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class TitanicAI : public NeuronsNetworkBase<data_item>
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{
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constexpr static size_t count_neurons = 6;
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protected:
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double activation(double x) override
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{
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return 1/(1+exp(-x));
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}
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public:
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TitanicAI() : NeuronsNetworkBase(count_neurons, 0.01)
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{}
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double call(const data_item& data) override
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{
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double sum = 0;
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for (size_t i = 0; i < count_neurons; ++i)
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{
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sum += (*this)[i] * data[i + 1];
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}
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return activation(sum);
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}
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void train(double error, const data_item& data) override
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{
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for (size_t i = 0; i < count_neurons; ++i)
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{
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(*this)[i] += get_rate_train() * error * data[i + 1];
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}
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}
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void print_masses()
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{
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for (size_t i = 0; i < count_neurons; ++i)
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{
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std::cout << (*this)[i] << " ";
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}
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std::cout << "\n";
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}
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};
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constexpr size_t count_train_items = 700;
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std::vector<data_item> train_data;
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int main(int argc, char* argv[])
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{
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TitanicAI ai;
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std::ifstream file("train.txt");
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while (file.eof() == false)
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{
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data_item item{};
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std::string vec;
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file >> vec;
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if (vec.empty() == false)
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item[0] = std::stod(vec);
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file >> vec;
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if (vec.empty() == false)
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item[1] = std::stod(vec);
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file >> vec;
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if (vec.empty() == false)
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item[2] = std::stod(vec);
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file >> vec;
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if (vec.empty() == false)
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item[3] = std::stod(vec);
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file >> vec;
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if (vec.empty() == false)
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item[4] = std::stod(vec);
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file >> vec;
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if (vec.empty() == false)
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item[5] = std::stod(vec);
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if (vec.empty() == false)
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item[6] = std::stod(vec);
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train_data.push_back(item);
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}
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for (size_t i = 0; i < count_train_items; ++i)
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{
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ai.train(train_data[i][0] - ai.call(train_data[i]), train_data[i]);
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}
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size_t score = 0;
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const size_t max_score = train_data.size() - count_train_items;
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constexpr double delta = 0.001;
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for (size_t i = count_train_items + 1; i < train_data.size(); ++i)
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{
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double activate_result = ai.call(train_data[i]);
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bool is_dead = activate_result + delta > 0.5;
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if (is_dead == static_cast<bool>(train_data[i][0]))
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++score;
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}
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std::cout << "Accuracy: " << score << '/' << max_score << " (float: " << (static_cast<double>(score) / static_cast<double>(max_score)) << ")\n";
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std::cout << "Masses: "; ai.print_masses();
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return 0;
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}
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