Search Results for "genetic algorithm c"
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Showing 5 open source projects for "genetic algorithm c"
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Satsuma .NET Graph Library
a delicious .NET graph library
Satsuma is a graph library for .NET, written in C#. Satsuma is an easy-to-use and flexible library, which implements all the necessary graph structures, and the fastest possible graph algorithms. DOCUMENTATION: http://satsumagraph.sourceforge.net/ Satsuma is not a charting library. 'Graph' is used in the mathematical sense here (e.g. nodes connected with arcs). Satsuma is released under the zlib license. This license is very permissive and allows you to use Satsuma for both personal... -
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text replace case insensitive c# vb.net
.NET replace text case insensitive
Fast algorithm text (string) replace case insensitive writing in .NET. Increase the performance of your application! -
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NeuroSolutions: Formula Generator
Utility converts the weights file of a MLP Breadboard into a formula
The NeuroSolutions: Formula Generator utility converts the weights file of a default MLP breadboard (1-hidden layer with a TanhAxon in the hidden layer and either a TanhAxon or BiasAxon in the output layer) into a usable formula that can be copied and pasted into your own programs to compute the output of the trained neural network. -
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OW.NET -- 1-Wire API port from Java (and J#) to C#. Use the Dallas 1-Wire and iButton chips with standard C# using a serial adapter (also CF.net) or the TMEX drivers on the Windows platform. No J# distribution installation required.
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Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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Swatian Tigers Desktop Search
Desktop Search Application
A light weight Desktop Search Application built in .net C# and Vb.net implemented using file search recursive algorithm and threads. provides explorer like view of files. It can be implemented in mono(platform independent).currently only runs on Microsoft Platform.
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