- neuro_src.zip
- neuro_src
- Docs
- AForge.Core.chm
- AForge.Neuro.chm
- Release
- AForge.Controls.dll
- AForge.dll
- AForge.Neuro.dll
- Samples
- Neuro
- Back Propagation
- Approximation
- TimeSeries
- XORProblem
- Simple
- Delta Rule Learning
- One-Layer Perceptron Classifier
- Perceptron Classifier
- SOM
- Sources
- neuro_demo.zip
- neuro_demo
- Back Propagation
- Approximation
- AForge.Controls.dll
- AForge.dll
- AForge.Neuro.dll
- Approximation.exe
- Data Samples
- TimeSeries
- AForge.Controls.dll
- AForge.dll
- AForge.Neuro.dll
- Data Samples
- TimeSeries.exe
- XORProblem
- AForge.Controls.dll
- AForge.dll
- AForge.Neuro.dll
- XORProblem.exe
- Simple
- Delta Rule Learning
- AForge.Controls.dll
- AForge.dll
- AForge.Neuro.dll
- Classifier.exe
- Data Samples
- One-Layer Perceptron Classifier
- AForge.Controls.dll
- AForge.dll
- AForge.Neuro.dll
- Classifier.exe
- Data Samples
- Perceptron Classifier
- AForge.Controls.dll
- AForge.dll
- AForge.Neuro.dll
- Classifier.exe
- Data Samples
- SOM
- 2DOrganizing
- 2DOrganizing.exe
- AForge.dll
- AForge.Neuro.dll
- Color
- AForge.dll
- AForge.Neuro.dll
- Color.exe
- TSP
- AForge.Controls.dll
- AForge.dll
- AForge.Neuro.dll
- TSP.exe
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// AForge Neural Net Library
//
// Copyright � Andrew Kirillov, 2005-2006
// andrew.kirillov@gmail.com
//
namespace AForge.Neuro
{
using System;
/// <summary>
/// Distance network
/// </summary>
///
/// <remarks>Distance network is a neural network of only one <see cref="DistanceLayer">distance
/// layer</see>. The network is a base for such neural networks as SOM, Elastic net, etc.
/// </remarks>
///
public class DistanceNetwork : Network
{
/// <summary>
/// Network's layers accessor
/// </summary>
///
/// <param name="index">Layer index</param>
///
/// <remarks>Allows to access network's layer.</remarks>
///
public new DistanceLayer this[int index]
{
get { return ( (DistanceLayer) layers[index] ); }
}
/// <summary>
/// Initializes a new instance of the <see cref="DistanceNetwork"/> class
/// </summary>
///
/// <param name="inputsCount">Network's inputs count</param>
/// <param name="neuronsCount">Network's neurons count</param>
///
/// <remarks>The new network will be randomized (see <see cref="Neuron.Randomize"/>
/// method) after it is created.</remarks>
///
public DistanceNetwork( int inputsCount, int neuronsCount )
: base( inputsCount, 1 )
{
// create layer
layers[0] = new DistanceLayer( neuronsCount, inputsCount );
}
/// <summary>
/// Get winner neuron
/// </summary>
///
/// <returns>Index of the winner neuron</returns>
///
/// <remarks>The method returns index of the neuron, which weights have
/// the minimum distance from network's input.</remarks>
///
public int GetWinner( )
{
// find the MIN value
double min = output[0];
int minIndex = 0;
for ( int i = 1, n = output.Length; i < n; i++ )
{
if ( output[i] < min )
{
// found new MIN value
min = output[i];
minIndex = i;
}
}
return minIndex;
}
}
}
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Started software development at about 15 years old and it seems like now it lasts most part of my life. Fortunately did not spend too much time with Z80 and BK0010 and switched to 8086 and further. Similar with programming languages – luckily managed to get away from BASIC and Pascal to things like Assembler, C, C++ and then C#. Apart from daily programming for food, do it also for hobby, where mostly enjoy areas like Computer Vision, Robotics and AI. This led to some open source stuff like
AForge.NET,
Computer Vision Sandbox,
cam2web,
ANNT, etc.