Neural Networks on C#

// AForge Neural Net Library
//
// Copyright � Andrew Kirillov, 2005-2006
// andrew.kirillov@gmail.com
//

namespace AForge.Neuro.Learning
{
	using System;

	/// <summary>
	/// Unsupervised learning interface
	/// </summary>
	/// 
	/// <remarks>The interface describes methods, which should be implemented
	/// by all unsupervised learning algorithms. Unsupervised learning is such a
	/// type of learning algorithms, where system's desired output is not known on
	/// the learning stage. Given sample input values, it is expected, that
	/// system will organize itself in the way to find similarities betweed provided
	/// samples.</remarks>
	/// 
	public interface IUnsupervisedLearning
	{
		/// <summary>
		/// Runs learning iteration
		/// </summary>
		/// 
		/// <param name="input">input vector</param>
		/// 
		/// <returns>Returns learning error</returns>
		/// 
		double Run( double[] input );

		/// <summary>
		/// Runs learning epoch
		/// </summary>
		/// 
		/// <param name="input">array of input vectors</param>
		///
		/// <returns>Returns sum of learning errors</returns>
		/// 
		double RunEpoch( double[][] input );
	}
}