神经网络: 计算简单的加法

神经网络: 计算简单的加法

下面是完整的代码:

// 
// fann_test.c :  
// FANN 测试 
// 
// 到下面的网站下载FANN库: 
//   Fast Artificial Neural Network Library (fann) 
//     http://leenissen.dk/fann/ 
//   下载链接: Download FANN --->  C Source Code and Windows DLL files  
// 

#include "../fann-2.0.0/src/include/doublefann.h" 

#ifdef _DEBUG 
  #pragma comment(lib, "../fann-2.0.0/MicrosoftWindowsDll/bin/fanndoubleMTd.lib") 
#else 
  #pragma comment(lib, "../fann-2.0.0/MicrosoftWindowsDll/bin/fanndoubleMT.lib") 
#endif 

// 训练: 
// 加法神经网络 
// c = a+b; 
void
{

const unsigned int num_input = 2;       // 输入项个数 
const unsigned int num_output = 1;      // 输出项个数 
const unsigned int
const unsigned int
const float desired_error = (const float) 0.00000001;
const unsigned int max_epochs = 500000; // 最多执行次数    
const unsigned int epochs_between_reports = 10000;   // 报告频率 
    
struct
    
int
float
int
double

    FILE   *fp;
"add.fann", "w");
"%d 2 1/n", Num);

// 生成训练文件 
for(i=1; i<=Num; i++){

// 生成2个数, 要求在(0,1)之间 
        a = i/Mf;
        b = (i+1)/Mf;
// 要求在(0,1)之间 
        
// 输入内容写到训练文件 
"%lf %lf/n%lf/n", a, b, c);
    }
    fclose(fp);

// 样本训练 
    ann = fann_create_standard(num_layers, num_input, num_neurons_hidden, num_output);
    
    fann_set_activation_function_hidden(ann, FANN_LINEAR  );
    fann_set_activation_function_output(ann, FANN_LINEAR  );  

"add.fann", max_epochs, epochs_between_reports, desired_error); 
"add.fann.net");  
    fann_destroy(ann);
}

// 执行: 
// 测试 
void exec(double a, double
{

struct
    
    fann_type *calc_out;
    fann_type input[2];
"add.fann.net");    
    
    input[0] = a;
    input[1] = b;
            
    calc_out = fann_run(ann, input);
    fann_destroy(ann);

"a=%f/nb=%f/nc=%f/n期望值c=%f/n/n", input[0], input[1], calc_out[0], input[0]+input[1]);    
}

// 
// 主程序 
// 
int
{

// 下面的方法只需调用一次, 然后注释掉 
// train(); 

    exec(0.354,0.58934);
    exec(0.21469,0.3914968);
    exec(0.130,0.44);
    exec(-0.3654,0.58455);
    exec(0.365420,-0.95);

return
}