Search Results for "delphi runtime code"
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Showing 6 open source projects for "delphi runtime code"
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CyberUnits
Class library for computational cybernetics
CyberUnits is a cross-platform class library for rapid development of high-performance computer simulations in life sciences. It supports modelling for biomedical cybernetics and systems biology with Object Pascal. -
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MeaProcess
Measurement and Automation Framework + Tool
MeaProcess is a simple and graphical based Measurement and Automation framework and Tool. Support programming with IEC 6-1131.3 ST. Runtime available for Windows, embedded RT-Linux and other realtime OS. -
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Digital Logic Simulator (DiLoSim)
Allows you to build your own circuits and test them
With this software you will be able to build your own circuits and test them. You are allowed to use this easy-to-use tool for educational reasons. Run on Windows: - Install Java: https://java.com/en/download/ - Download the binaries - Open the jar-file with the java runtime Limitations: - Currently only German language supported. - This software requires Java 8 or above to work. Tested with OpenJDK & Oracle Java. For more information check out the project's source code... -
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Acoustic Research Tool (ART)
Acoustic Simulation Library for Frequency and Time Domain Simulations.
ART is a flexible simulation framework for wind instruments. It includes a growing library of modelling elements. So far bore discontinuities, branches, tone holes, cylindrical and conical tubes, Bessel horns and bent tubes are available for frequency domain modelling. In the time domain generic bidirectional propagation elements, scattering elements, fractional delays, convolution with reflection functions and general z-domain networks are available and can be described using MuParserX... -
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This site hosts the source code for C++ version of the Broker for SBW, NOM module, advanced simulation suite, analysis applications and model editors.
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eANN
eANN is an implementation of several kind of neural networks.
eANN is an implementation of several kind of neural networks written with the intention of providing a (hopefully) easy to use, and easy to modify, OOP source code. It is possible to have several different sized networks running simultaneously, each functioning independently of the others or acting as inputs between them. It also easy to modify the structure so that neurons (or even whole layers) can be created/pruned during simulation allowing dynamic expansion/contraction of the network.
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