Search Results for "example"

...For code editing and debugging the same tools used for a real board should be used with PICSimLab, such as MPLABX, Arduino IDE, or VSCode with PlatformIO. PICSimLab supports several devices (spare parts) that can be connected to the boards for simulation. Such as example LEDs and push buttons for simple outputs and inputs and some more complex ones like the ethernet shield w5500 for internet connection or the color graphic display ili9340 with touchscreen. The complete list of parts can be accessed in the documentation. Documentation at https://lcgamboa.github.io/picsimlab_docs/stable/

FRAME3DD is a program for the static and dynamic structural analysis of two- and three-dimensional frames and trusses with elastic and geometric stiffness.

A parallel-programming framework for concurrently running large numbers of small autonomous jobs, or microthreads, across multiple cores in a CPU or CPUs in a cluster. NeuraNEP emulates a distributed processing environment capable of handling millions of microthreads in parallel, for example running neural networks with millions of spiking cells. Microthreads are general processing elements that can also represent non-neural elements, such as cell populations, extracellular space, emulating sensory activity, etc. NeuraNEP handles microthread scheduling, synchronization, distribution and communication. This project is a fork of SpikeOS (sourceforge.net/projects/spikeos) and represents a major update to that code base, including a scripting interface and low-level rewrite of several components. ...

update: https://sourceforge.net/projects/newctruck3drally/ It's a 3D, physically realistic truck/car simulator, oriented to dirt tracks. This is subsancially kept as hystorical. The environment is a hilly terrain which can also be user-defined in the form of a Bitmap image file (where intensity of red component defines height). It's similar to the classic "Terep 2". Particular care for internal cam. Written in standard C. There's a Windows executable ready for use, but it's compilable...

...It is possible to estimate sensitivities with respect to system parameters using the following algorithms: finite difference methods (crude monte carlo, common reaction path, coupled finite differences); likelihood ratio methods; and regularized pathwise derivatives. Additionally the package includes basic stochastic simulation algorithms. The package includes several example networks which can be easily modified for other networks. Serial and parallel MPI implementations can be built and called from the command line. The serial implementation of the package can also be called from Matlab via the MEX interface with limited functionality. It supports many user specified options, including the use of antithetic sampling that can be used in some cases to increase efficiency.

Neural gas is a one of method for competitive learning. This algorithm can be used for example in Machine vision. We have implemented this algorithm on Cell Broadband Engine.