File: aforge_demoDownload  >Add to favorates  [Vote: very good!  5  4  3  2  1 Vote: very bad!]
  Directory: AI-NN-PR
  Dev tools: C#
  File size: 1598 KB
  Update: 2007-05-21
  Downloads: 178
  Uploader:
 Describe: two years after the author constantly improve, has now become a very mature framework, include image processing, neural networks, genetic algorithms, and other areas of artificial intelligence research results achieved. This is some DEMO
File list(Click to check if it's the file you need, and recomment it at the bottom):
  aforge_demo
  ...........\Docs
  ...........\....\AForge.Controls.chm
  ...........\....\AForge.Core.chm
  ...........\....\AForge.Genetic.chm
  ...........\....\AForge.Imaging.chm
  ...........\....\AForge.Math.chm
  ...........\....\AForge.Neuro.chm
  ...........\Release
  ...........\Samples
  ...........\.......\Genetic
  ...........\.......\.......\Approximation
  ...........\.......\.......\.............\AForge.Controls.dll
  ...........\.......\.......\.............\AForge.dll
  ...........\.......\.......\.............\AForge.Genetic.dll
  ...........\.......\.......\.............\Approximation.exe
  ...........\.......\.......\.............\Data Samples
  ...........\.......\.......\.............\............\sample1.csv
  ...........\.......\.......\.............\............\sample2.csv
  ...........\.......\.......\Optimization1D
  ...........\.......\.......\..............\AForge.Controls.dll
  ...........\.......\.......\..............\AForge.dll
  ...........\.......\.......\..............\AForge.Genetic.dll
  ...........\.......\.......\..............\Optimization1D.exe
  ...........\.......\.......\TimeSeries
  ...........\.......\.......\..........\AForge.Controls.dll
  ...........\.......\.......\..........\AForge.dll
  ...........\.......\.......\..........\AForge.Genetic.dll
  ...........\.......\.......\..........\Data Samples
  ...........\.......\.......\..........\............\exponent.csv
  ...........\.......\.......\..........\............\growing sinusoid.csv
  ...........\.......\.......\..........\............\parabola.csv
  ...........\.......\.......\..........\............\sigmoid.csv
  ...........\.......\.......\..........\............\sinusoid.csv
  ...........\.......\.......\..........\TimeSeries.exe
  ...........\.......\.......\TSP
  ...........\.......\.......\...\AForge.Controls.dll
  ...........\.......\.......\...\AForge.dll
  ...........\.......\.......\...\AForge.Genetic.dll
  ...........\.......\.......\...\TSP.exe
  ...........\.......\Imaging
  ...........\.......\.......\FiltersDemo
  ...........\.......\.......\...........\AForge.dll
  ...........\.......\.......\...........\AForge.Imaging.dll
  ...........\.......\.......\...........\AForge.Math.dll
  ...........\.......\.......\...........\FiltersDemo.exe
  ...........\.......\.......\TexturesDemo
  ...........\.......\.......\............\AForge.dll
  ...........\.......\.......\............\AForge.Imaging.dll
  ...........\.......\.......\............\AForge.Math.dll
  ...........\.......\.......\............\TexturesDemo.exe
  ...........\.......\Neuro
  ...........\.......\.....\Back Propagation
  ...........\.......\.....\................\Approximation
  ...........\.......\.....\................\.............\AForge.Controls.dll
  ...........\.......\.....\................\.............\AForge.dll
  ...........\.......\.....\................\.............\AForge.Neuro.dll
  ...........\.......\.....\................\.............\Approximation.exe
  ...........\.......\.....\................\.............\Data Samples
  ...........\.......\.....\................\.............\............\sample1.csv
  ...........\.......\.....\................\.............\............\sample2.csv
  ...........\.......\.....\................\TimeSeries
  ...........\.......\.....\................\..........\AForge.Controls.dll
  ...........\.......\.....\................\..........\AForge.dll
  ...........\.......\.....\................\..........\AForge.Neuro.dll
  ...........\.......\.....\................\..........\Data Samples
  ...........\.......\.....\................\..........\............\exponent.csv
  ...........\.......\.....\................\..........\............\growing sinusoid.csv
  ...........\.......\.....\................\..........\............\parabola.csv
  ...........\.......\.....\................\..........\............\sigmoid.csv
  ...........\.......\.....\................\..........\............\sinusoid.csv
  ...........\.......\.....\................\..........\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
  ...........\.......\.....\......\...................\............\and.csv
  ...........\.......\.....\......\...................\............\cube.csv
  ...........\.......\.....\......\...................\............\or.csv
  ...........\.......\.....\......\...................\............\sample1.csv
  ...........\.......\.....\......\...................\............\sample2.csv
  ...........\.......\.....\......\One-Layer Perceptron Classifier
  ...........\.......\.....\......\...............................\AForge.Controls.dll
  ...........\.......\.....\......\...............................\AForge.dll
  ...........\.......\.....\......\...............................\AForge.Neuro.dll
  ...........\.......\.....\......\...............................\Classifier.exe
  ...........\.......\.....\......\...............................\Data Samples
  ...........\.......\.....\......\...............................\............\sample1.csv
  ...........\.......\.....\......\...............................\............\sample2.csv
  ...........\.......\.....\......\Perceptron Classifier
  ...........\.......\.....\......\.....................\AForge.Controls.dll
  ...........\.......\.....\......\.....................\AForge.dll
Please Comment: [Very Good!] [Commonly] [passworded] [Bad Descibe] [Not code/document] [lost file]  [Can't uncompress] [Very bad!] [Note]
 [Ԭ]:Commonly to use [liuyu]:Very Good [sever]:Very Good
 Search in more than 1843379 codes/documents:
 [GuessN.rar] - own ringing the game, using a random, a very basic procedures
 [asocketconnectiontype,Packaging,aWinsockAP] - a socket connection type, Packaging, a Winsock API, VB source code to download!
 [muti-agents-toolbox.rar] - Multi-agent toolkit, can be directly used for multi-agent reinforcement learning algorithm design and simulation

 [aforge_src.zip] - two years after the author constantly improve, has now become a very mature framework, include Image processing, neural networks, genetic algorithms,
 [control2.rar] - Genetic algorithm-related books, want to just touch the vast number of genetic algorithm Tongren help
 [StopWatch18064110162004.zip] - the procedure is carried out in the maze game time tool in a specialized learning java downloaded from the website, can give the beginner a little enl
 [C++.Slides.Coursework.zip] - C Object-Oriented Software Design courses, including the C programming design basis, and several of the universal application of C code in the world.
 [methodattributeprofiles.Rar] - new areas of artificial intelligence research
 [spectral-0.2.tgz.zip] - Spectral clustering. Good use of artificial intelligence algorithms
 [NeuralNetworkDemo-0.1-src.zip] - rare to see a C# neural network modeling, vomiting blood recommendation, a comprehensive solution to the neural network problems.