文件名称:neuro_src_CSharp

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一个神经网络计算的库,实现几个通用神经网络体系和训练方法,自识别图,弹性网络等.like Back Propagation, Kohonen Self-Organizing Map, Elastic Network, Delta Rule Learning, and Perceptron Learning.-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).
(系统自动生成,下载前可以参看下载内容)

下载文件列表

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

............\.......\.....\......\..........

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