Info
| Version: | 3.4.0 | 
| Author(s): | Jeff Heaton | 
| Last Update: | Friday, September 1, 2017 | 
| .NET Fiddle: | Create the first Fiddle | 
| Project Url: | http://www.heatonresearch.com/encog | 
| NuGet Url: | https://www.nuget.org/packages/encog-dotnet-core | 
Install
Install-Package encog-dotnet-core
                        dotnet add package encog-dotnet-core
                        paket add encog-dotnet-core
                        
                                encog-dotnet-core Download (Unzip the "nupkg" after downloading)
                            
                        Dependencies
                                1 package depend on this package.
                        
                    Tags
                
Machine learning algorithms such as Support Vector Machines, Artificial Neural Networks, Genetic Programming, Bayesian Networks, Hidden Markov Models and Genetic Algorithms are supported. Most Encog training algoritms are multi-threaded and scale well to multicore hardware. Encog can also make use of a GPU to further speed processing time. A GUI based workbench is also provided to help model and train machine learning algorithms.
Encog has been in active development since 2008.