From 6faf2694e6ec4d128dee6a31777b02fa65dc5532 Mon Sep 17 00:00:00 2001 From: Jiga228 Date: Mon, 13 Jul 2026 23:23:11 +0700 Subject: [PATCH] Init --- .gitignore | 2 + NeuronsNetworkBase.h | 36 ++ README.txt | 10 + TitanicAI.cpp | 108 +++++ TitanicAI.slnx | 7 + TitanicAI.vcxproj | 165 +++++++ TitanicAI.vcxproj.filters | 22 + train.txt | 889 ++++++++++++++++++++++++++++++++++++++ train.xlsx | Bin 0 -> 38657 bytes 9 files changed, 1239 insertions(+) create mode 100644 .gitignore create mode 100644 NeuronsNetworkBase.h create mode 100644 README.txt create mode 100644 TitanicAI.cpp create mode 100644 TitanicAI.slnx create mode 100644 TitanicAI.vcxproj create mode 100644 TitanicAI.vcxproj.filters create mode 100644 train.txt create mode 100644 train.xlsx diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..8ec79ac --- /dev/null +++ b/.gitignore @@ -0,0 +1,2 @@ +.idea/ +x64/ diff --git a/NeuronsNetworkBase.h b/NeuronsNetworkBase.h new file mode 100644 index 0000000..b380d91 --- /dev/null +++ b/NeuronsNetworkBase.h @@ -0,0 +1,36 @@ +#pragma once + +#include +#include + +template +class NeuronsNetworkBase +{ + double rate_train_ = 0.01; + std::vector masses; + +protected: + virtual double activation(double x) = 0; + + double& operator[](size_t index) + { + return masses[index]; + } + +public: + NeuronsNetworkBase(size_t count_neurons, double rate_train): + rate_train_(rate_train) + { + masses.resize(count_neurons); + } + virtual ~NeuronsNetworkBase() = default; + + virtual void train(double error, const T& data) = 0; + + virtual double call(const T& data) = 0; + + double get_rate_train() const + { + return rate_train_; + } +}; diff --git a/README.txt b/README.txt new file mode 100644 index 0000000..b79bfaf --- /dev/null +++ b/README.txt @@ -0,0 +1,10 @@ +# TitanicAI +Эта неросеть предсказывает смерть пасажиров Титаника с вероятностью 0.76 + +В файле train.txt находится ассет для обучет + +В файле TitanicAI.cpp константа count_train_items указыает на количество ассетов для обучения. Остальные пойдут на тесты. +Скорость обучения решулируется во втором параметре конструктора + +Вектора в ассете: +Survived|Pclass|Sex|Age|Relatives|Fare|Embarked diff --git a/TitanicAI.cpp b/TitanicAI.cpp new file mode 100644 index 0000000..33beea0 --- /dev/null +++ b/TitanicAI.cpp @@ -0,0 +1,108 @@ +#include +#include +#include + +#include "NeuronsNetworkBase.h" + +using data_item = std::array; + +class TitanicAI : public NeuronsNetworkBase +{ + constexpr static size_t count_neurons = 6; +protected: + double activation(double x) override + { + return 1/(1+exp(-x)); + } + +public: + TitanicAI() : NeuronsNetworkBase(count_neurons, 0.01) + {} + + double call(const data_item& data) override + { + double sum = 0; + for (size_t i = 0; i < count_neurons; ++i) + { + sum += (*this)[i] * data[i + 1]; + } + + return activation(sum); + } + + void train(double error, const data_item& data) override + { + for (size_t i = 0; i < count_neurons; ++i) + { + (*this)[i] += get_rate_train() * error * data[i + 1]; + } + } + + void print_masses() + { + for (size_t i = 0; i < count_neurons; ++i) + { + std::cout << (*this)[i] << " "; + } + std::cout << "\n"; + } +}; + +constexpr size_t count_train_items = 700; +std::vector train_data; + +int main(int argc, char* argv[]) +{ + TitanicAI ai; + std::ifstream file("train.txt"); + + while (file.eof() == false) + { + data_item item{}; + + std::string vec; + file >> vec; + if (vec.empty() == false) + item[0] = std::stod(vec); + file >> vec; + if (vec.empty() == false) + item[1] = std::stod(vec); + file >> vec; + if (vec.empty() == false) + item[2] = std::stod(vec); + file >> vec; + if (vec.empty() == false) + item[3] = std::stod(vec); + file >> vec; + if (vec.empty() == false) + item[4] = std::stod(vec); + file >> vec; + if (vec.empty() == false) + item[5] = std::stod(vec); + if (vec.empty() == false) + item[6] = std::stod(vec); + + train_data.push_back(item); + } + + for (size_t i = 0; i < count_train_items; ++i) + { + ai.train(train_data[i][0] - ai.call(train_data[i]), train_data[i]); + } + + size_t score = 0; + const size_t max_score = train_data.size() - count_train_items; + constexpr double delta = 0.001; + for (size_t i = count_train_items + 1; i < train_data.size(); ++i) + { + double activate_result = ai.call(train_data[i]); + bool is_dead = activate_result + delta > 0.5; + if (is_dead == static_cast(train_data[i][0])) + ++score; + } + + std::cout << "Accuracy: " << score << '/' << max_score << " (float: " << (static_cast(score) / static_cast(max_score)) << ")\n"; + std::cout << "Masses: "; ai.print_masses(); + + return 0; +} diff --git a/TitanicAI.slnx b/TitanicAI.slnx new file mode 100644 index 0000000..8d894c7 --- /dev/null +++ b/TitanicAI.slnx @@ -0,0 +1,7 @@ + + + + + + + diff --git a/TitanicAI.vcxproj b/TitanicAI.vcxproj new file mode 100644 index 0000000..74ee310 --- /dev/null +++ b/TitanicAI.vcxproj @@ -0,0 +1,165 @@ + + + + + Debug + Win32 + + + Release + Win32 + + + Debug + x64 + + + 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