www.pudn.com > 基于VC的神经网络开发程序包(源码).rar > TwoLayerNetwork.h

#ifndef _TWOLAYERNETWORK_H 
#define _TWOLAYERNETWORK_H 
 
#include "MultiLayerNetwork.h" 
 
namespace annie 
{ 
 
/** Two layered networks are very commonly used. This is basically a 
  * multi-layer perceptron network with only two layers - one hidden and one 
  * output (the input is not counted as a layer). 
  * This class basically derives from a MultiLayerNetwork and adds 
  * functionality that make it easier to use if the network you're dealing 
  * with has only 2 layers. There is nothing you can do with this class 
  * that you can't do with MultiLayerNetwork, just that this may be easier to 
  * use. 
  */ 
class TwoLayerNetwork : public MultiLayerNetwork 
{ 
public: 
	/** Creates a two layer network 
	  * @param inputs The number of inputs taken in by the network 
	  * @param hidden The number of hidden neurons in the network 
	  * @param outputs The size of the output vector (number of outputs given by the network) 
	  */ 
	TwoLayerNetwork(int inputs, int hidden, int outputs); 
 
	/** Loads a two-layer network from a file. 
	  * The file is exactly the same as a MultiLayerNetwork file, and can 
	  * be loaded there as well. 
	  * @throws Exception if the file read does not correspond to a two layer network 
	  */ 
	TwoLayerNetwork(const char *filename); 
 
	/** Connects an input and a hidden neuron with a random weight 
	 * @param input The index of the input neuron 
	 * @param hidden The index of the hidden neuron in the hidden layer 
	 */ 
	virtual void connect2in(int input, int hidden); 
 
	/** Connects an input and a hidden neuron with the given weight 
	 * @param input The index of the input neuron 
	 * @param hidden The index of the hidden neuron in the hidden layer 
	 * @param weight The weight of the connection 
	 */ 
	virtual void connect2in(int input, int hidden, real weight); 
 
	/** Connects a hidden and an output neuron with a random weight 
	 * @param hidden The index of the hidden neuron in the hidden layer 
	 * @param output The index of the output neuron in the output layer 
	 */ 
	virtual void connect2out(int hidden, int output); 
	 
	/** Connects a hidden and an output neuron with the given weight 
	  * @param hidden The index of the hidden neuron in the hidden layer 
	  * @param output The index of the output neuron in the output layer 
	  * @param weight The weight of the connection 
	  */ 
	virtual void connect2out(int hidden, int output, real weight); 
 
	/** Completely connects the network. 
	  * All inputs are connected to all hidden neurons and all hidden neurons 
	  * to all output neurons 
	  */ 
	virtual void connectAll(); 
 
	/** Overrides MultiLayerNetwork::addLayer() so that it cannot be done. 
	  * @throws Exception Because the number of layers of this class is fixed, so 
	  *			you shouldn't be allowed to add a layer 
	  */ 
	virtual void addLayer(int size); 
 
	/// Returns "TwoLayerNetwork" 
	virtual const char *getClassName(); 
}; 
}; //namespace annie 
#endif // define _TWOLAYERNETWORK_H