帮我写一个C++的神经网络

我可以帮你提供一个示例代码：#include <stdio.h>
#include <stdlib.h>//定义神经网络结构
typedef struct
{
int input_n; //输入层节点数
int hidden_n; //隐藏层节点数
int output_n; //输出层节点数
double *input_cells; //输入层节点
double *hidden_cells; //隐藏层节点
double *output_cells; //输出层节点
double *hidden_delta; //隐藏层delta值
double *output_delta; //输出层delta值
double *target; //目标输出
double **input_weights; //输入层权重
double **hidden_weights; //隐藏层权重
}NN;//初始化神经网络
NN *nn_init(int input_n, int hidden_n, int output_n)
{
int i, j;
NN *nn = (NN *)malloc(sizeof(NN));
nn->input_n = input_n;
nn->hidden_n = hidden_n;
nn->output_n = output_n;

nn->input_cells = (double *)calloc(input_n, sizeof(double));
nn->hidden_cells = (double *)calloc(hidden_n, sizeof(double));
nn->output_cells = (double *)calloc(output_n, sizeof(double));
nn->hidden_delta = (double *)calloc(hidden_n, sizeof(double));
nn->output_delta = (double *)calloc(output_n, sizeof(double));
nn->target = (double *)calloc(output_n, sizeof(double));

nn->input_weights = (double **)calloc(input_n, sizeof(double *));
for (i = 0; i < input_n; i++) {
nn->input_weights[i] = (double *)calloc(hidden_n, sizeof(double));
}
nn->hidden_weights = (double **)calloc(hidden_n, sizeof(double *));
for (i = 0; i < hidden_n; i++) {
nn->hidden_weights[i] = (double *)calloc(output_n, sizeof(double));
}

//随机初始化权重
for (i = 0; i < input_n; i++) {
for (j = 0; j < hidden_n; j++) {
nn->input_weights[i][j] = (rand() / (double)RAND_MAX - 0.5) * 2;
}
}
for (i = 0; i < hidden_n; i++) {
for (j = 0; j < output_n; j++) {
nn->hidden_weights[i][j] = (rand() / (double)RAND_MAX - 0.5) * 2;
}
}
return nn;
}