www.pudn.com > neuroocr_src.zip > Network.cs

// AForge Neural Net Library 
// 
// Copyright © Andrew Kirillov, 2005 
// andrew.kirillov@gmail.com 
// 
 
namespace AForge.NeuralNet 
{ 
	using System; 
 
	/// 
 
	/// Network - represent a collection of connected layers 
	/// 
 
	public class Network 
	{ 
		protected int	inputsCount;	// inputs count of the net 
		protected int	layersCount;	// layers count in the net 
		protected float[]	output;		// network output 
 
		protected Layer[]	layers; 
 
		// Layers count property 
		public int LayersCount 
		{ 
			get { return layersCount; } 
		} 
		// Get layer at the specified index 
		public Layer this[int index] 
		{ 
			get { return (layers[index]); } 
		} 
		// Get network output 
		public float[] Output 
		{ 
			get { return output; } 
		} 
 
		// Constructors 
		public Network(int inputsCount, params int[] neuronsCountPerLayer) 
			: this(new SigmoidFunction(), inputsCount, neuronsCountPerLayer) 
		{ } 
		public Network(IActivationFunction function, int inputsCount, params int[] neuronsCountPerLayer) 
		{ 
			this.inputsCount = Math.Max(1, inputsCount); 
			this.layersCount = neuronsCountPerLayer.Length; 
 
			// create collection of layers 
			layers = new Layer[layersCount]; 
			// create each layer 
			for (int i = 0; i < layersCount; i++) 
			{ 
				layers[i] = new Layer( 
					neuronsCountPerLayer[i], 
					(i == 0) ? inputsCount : neuronsCountPerLayer[i - 1], 
					function); 
			} 
		} 
 
 
		// Compute the output value of the net 
		public float[] Compute(float[] input) 
		{ 
			output = input; 
 
			// compute each layer 
			for (int i = 0; i < layersCount; i++) 
			{ 
				output = layers[i].Compute(output); 
			} 
 
			return output; 
		} 
 
		// Randomize the network 
		public void Randomize() 
		{ 
			foreach (Layer layer in layers) 
				layer.Randomize(); 
		} 
	} 
}