Qt与Rnn循环神经网络231101

#include 
#include 
#include 
#include

// Sigmoid激活函数
double sigmoid(double x) {
    return 1.0 / (1.0 + exp(-x));
}

// RNN单元
class RNNCell {
private:
    int input_size;
    int hidden_size;
    std::vector> Wxh;
    std::vector> Whh;
    std::vector bh;
    std::vector state;

    // 初始化权重和偏置
    void init_parameters() {
        std::default_random_engine generator;
        std::normal_distribution distribution(0.0, 0.1);

        // 权重初始化
        Wxh.resize(hidden_size, std::vector(input_size));
        Whh.resize(hidden_size, std::vector(hidden_size));
        for (auto &row : Wxh)
            for (auto &val : row)
                val = distribution(generator);

        for (auto &row : Whh)
            for (auto