training.h

预测神经网络

// Training.h: interface for the Training class.
//
//////////////////////////////////////////////////////////////////////

#if !defined(AFX_TRAINING_H__F4259243_EE47_11D6_A51F_00000E98E3F5__INCLUDED_)
#define AFX_TRAINING_H__F4259243_EE47_11D6_A51F_00000E98E3F5__INCLUDED_

#if _MSC_VER > 1000
#pragma once
#endif // _MSC_VER > 1000

#include "Data_type.h"
//用于记录输入信号的顺序及随机排列信号的类
class signal_data // Class for randomizing the input signals
{
  public:
  int signal_value;
  float signal_rank;
};
class Training : public Data_type  
{
public:

	float target_minimum_average_squared_error;
  void request_training_data(); // Function to request data for training
  int number_of_epochs;
  signal_data *signalpoint;
  float rate_of_learning; // learning rate constant used by the net
  char presentation_order; // determines fixed or random signal presentation
  void scramble_data_in_array(void);
  float minimum_average_squared_error;
  void delete_signal_data_array(void);
  ~Training();
};

#endif // !defined(AFX_TRAINING_H__F4259243_EE47_11D6_A51F_00000E98E3F5__INCLUDED_)