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Brian is a new simulator for spiking neural networks available on almost all platforms. The motivation for this project is that a simulator should not only save the time of processors, but also the time of scientists.
Cervelletto is a neuralnetwork simulator. It uses a new neural model based on biological, neurological and psychological studies. [it's not yet completed... just give me some weeks! sorry!]
SpiNet is a neural simulation tool for large spiking networks with highly heterogeneous synapses. Neurons are modelled as I&F units with dual exponential synaptic conductances. Complex network models can be easily built using the included tool NetBuilder
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OpenDiscreteDynamicProgrammingTemplate : founds optimal constrainted parameters of a discrete controls with second order optimization template replacing Hessian with directional derivatives and backpropagation for digital filter(as neuralnetwork)
A class library written in Objective-C++ for building models of connectionist networks (neural networks). The class-hierarchy is designed to be maximally general and expandable, but also to support specific types of network.
iSNS is an interactive neuralnetwork simulator written in Java/Java3D. The program is intended to be used in lessons of Neural Networks. The program was developed by students as the software project at Charles University in Prague.
rsim is a simple discrete-event communications network simulator initially developed to test routing protocols for undersea acoustic modem networks. If done well then rsim will eventually be a good replacement for "ns2".
pyomnet provide an object-oriented way to define the network topology.
It's a good way to illustrate network in an abstract way.
pyomnet could generate the NED scenario and configuration(latter) for OMNeT++ simulation tool.
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We experiment with Evolution of Artifical Neural Networks, combining the two fields of Evolutionary Computation and ANNs. Our methods are applied to a variety of interesting problems. To learn more, click on "Home Page", "Mail", or "Files".
Application of neuralnetwork to predict the future of stock exchange, aerospace ( ufo trajectory ), sound, image, noise, scientific or medical data. You need , by example, 100 days of a numeric data and the number of days to predict (by example 7 days).
LiNNS is not just a NeuralNetwork Simulator, but a NeuralNetwork System - a framework which covers the full lifecycle of a neuralnetwork, from design and research till usage in an external application.
It's a Cat and Dog game,we develop the Inner AI strategy for the Dog and we also code the strategy of the cat in order to simulate the user. Furthermore we use Artificial NeuralNetwork to build the experiment
Labcoat for SuperWikia Alpha fabrication manages new or revised fabrication processes. Its 'Cleanroom' applets allow codesmiths to access the lab environment, used to create semiconductors, substrate prototypes, chipset instruction blocks and other Labcoat projects. Our extensions in future releases will include UML support for C#/C++ conforming projects, import/export architecture schematics and refactoring sub-projects.