Description: 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).
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File list (Check if you may need any files):
neuro_src_C#\Docs\AForge.Core.chm
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............\Release\AForge.Controls.dll
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............\Samples\Neuro\Back Propagation\Approximation\App.ico
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............\.......\.....\Simple\Delta Rule Learning\App.ico
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............\.......\.....\......\One-Layer Perceptron Classifier\App.ico
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............\.......\.....\......\Perceptron Classifier\App.ico
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