Search Results for "fast"

42 is a comprehensive general-purpose simulation of spacecraft attitude and orbit dynamics. Its primary purpose is to support design and validation of attitude control systems, from concept studies through integration and test. 42 accurately models multi-body spacecraft attitude dynamics (with rigid and/or flexible bodies), and both two-body and three-body orbital flight regimes, modelling environments from low Earth orbit to throughout the solar system. 42 simulates multiple spacecraft...

A small simulation of an experimental customized Cpu called FlexxCpu. A virtual Cpu whose assembly instructions have been strongly influenced by old cpus architecture (8080, 6809, z80, 68k, etc...) Please support this project by donating to this fundraiser: ------------------------------------------- Give birth to new travel bicycles!!! https://gofund.me/2201d2a4 -------------------------------------------

...The codebase supports building Heterogenous Command and Control Consoles and Accelerated User Attached Audiovisuals. The Command Centre Real Time Simulation Framework (under RT Linux) allows designers to build Fast Prototyped Consoles for advanced Simulations running on Local Area Networks.

NEVESIM is a software package for event-driven simulation of networks of spiking neurons with a fast simulation core in C++, and a scripting user interface in the Python programming language. It supports simulation of heterogeneous networks with different types of neurons and synapses, and can be easily extended by the user with new neuron and synapse types. To enable heterogeneous networks and extensibility, NEVESIM is designed to decouple the simulation logic of communicating events (spikes) between the neurons at a network level from the implementation of the internal dynamics of individual neurons.

NOTE: This project was moved to: https://github.com/eetorres The BPANNA is a flexible Back propagation neural network, which include the Conjugate Gradient and the Levenberg-Marquardt. You can change the number of inputs, number of layers, number of neurons per layer and outputs. It included an structure editor.