In this article, a C# library for neural network computations is described. The library implements several popular neural network architectures and their training algorithms, like Back Propagation, Kohonen Self-Organizing Map, Elastic Network, Delta Rule Learning, and Perceptron Learning. The usage of the library is demonstrated on several samples: • Classification (one-layer neural network trained with perceptron learning algorithms) • Approximation (multi-layer neural network trained with back propagation learning algorithm) • Time Series Prediction (multi-layer neural network trained with back propagation learning algorithm) • Color Clusterization (Kohonen Self-Organizing Map) • Traveling Salesman Problem (Elastic Network).

neuro_src_C#\Docs\AForge.Core.chm
............\....\AForge.Neuro.chm
............\Release\AForge.Controls.dll
............\.......\AForge.dll
............\.......\AForge.Neuro.dll
............\Samples\Neuro\Back Propagation\Approximation\App.ico
............\.......\.....\................\.............\Approximation.csproj
............\.......\.....\................\.............\Approximation.sln
............\.......\.....\................\.............\AssemblyInfo.cs
............\.......\.....\................\.............\Data Samples\sample1.csv
............\.......\.....\................\.............\............\sample2.csv
............\.......\.....\................\.............\MainForm.cs
............\.......\.....\................\.............\MainForm.resx
............\.......\.....\................\TimeSeries\App.ico
............\.......\.....\................\..........\AssemblyInfo.cs
............\.......\.....\................\..........\Data Samples\exponent.csv
............\.......\.....\................\..........\............\growing sinusoid.csv
............\.......\.....\................\..........\............\parabola.csv
............\.......\.....\................\..........\............\sigmoid.csv
............\.......\.....\................\..........\............\sinusoid.csv
............\.......\.....\................\..........\MainForm.cs
............\.......\.....\................\..........\MainForm.resx
............\.......\.....\................\..........\TimeSeries.csproj
............\.......\.....\................\..........\TimeSeries.sln
............\.......\.....\................\XORProblem\App.ico
............\.......\.....\................\..........\AssemblyInfo.cs
............\.......\.....\................\..........\MainForm.cs
............\.......\.....\................\..........\MainForm.resx
............\.......\.....\................\..........\XORProblem.csproj
............\.......\.....\................\..........\XORProblem.sln
............\.......\.....\Simple\Delta Rule Learning\App.ico
............\.......\.....\......\...................\AssemblyInfo.cs
............\.......\.....\......\...................\Classifier.csproj
............\.......\.....\......\...................\Classifier.sln
............\.......\.....\......\...................\Data Samples\and.csv
............\.......\.....\......\...................\............\cube.csv
............\.......\.....\......\...................\............\or.csv
............\.......\.....\......\...................\............\sample1.csv
............\.......\.....\......\...................\............\sample2.csv
............\.......\.....\......\...................\MainForm.cs
............\.......\.....\......\...................\MainForm.resx
............\.......\.....\......\One-Layer Perceptron Classifier\App.ico
............\.......\.....\......\...............................\AssemblyInfo.cs
............\.......\.....\......\...............................\Classifier.csproj
............\.......\.....\......\...............................\Classifier.sln
............\.......\.....\......\...............................\Data Samples\sample1.csv
............\.......\.....\......\...............................\............\sample2.csv
............\.......\.....\......\...............................\MainForm.cs
............\.......\.....\......\...............................\MainForm.resx
............\.......\.....\......\Perceptron Classifier\App.ico
............\.......\.....\......\.....................\AssemblyInfo.cs
............\.......\.....\......\.....................\Classifier.csproj
............\.......\.....\......\.....................\Classifier.sln
............\.......\.....\......\.....................\Data Samples\and.csv
............\.......\.....\......\.....................\............\cube.csv
............\.......\.....\......\.....................\............\or.csv
............\.......\.....\......\.....................\MainForm.cs
............\.......\.....\......\..........

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．