Fast Artificial Neural Network Library (FANN)
Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. Bindings to more than 20 programming languages are available. FANN Features:
OpenNN - Open Neural Networks Library
lucashnegri / NeuralView
Bitbucket is a code hosting site with unlimited public and private repositories. We're also free for small teams! Sign up for freeClose NeuralView is a graphical interface for FANN 1, making possible to graphically design, train, and test artificial neural networks.
Fast Artificial Neural Network Library
PyBrain
Java Neural Network Framework Neuroph
Réseau de neurones artificiels
Un article de Wikipédia, l'encyclopédie libre. Un réseau de neurones artificiels est un modèle de calcul dont la conception est très schématiquement inspirée du fonctionnement des neurones biologiques. Les réseaux de neurones sont généralement optimisés par des méthodes d’apprentissage de type probabiliste, en particulier bayésien. Ils sont placés d’une part dans la famille des applications statistiques, qu’ils enrichissent avec un ensemble de paradigmes [1] permettant de créer des classifications rapides (réseaux de Kohonen en particulier), et d’autre part dans la famille des méthodes de l’intelligence artificielle auxquelles ils fournissent un mécanisme perceptif indépendant des idées propres de l'implémenteur, et fournissant des informations d'entrée au raisonnement logique formel. En modélisation des circuits biologiques, ils permettent de tester quelques hypothèses fonctionnelles issues de la neurophysiologie, ou encore les conséquences de ces hypothèses pour les comparer au réel.
AForge.NET :: Computer Vision, Artificial Intelligence, Robotics
Python Programming Language – Official Website
NeuronDotNet - Neural Networks in C# | Free Science & Engineering software downloads
NeuroBox Neural Network Library
Project Overview NeuroBox is a .NET OOP Library written in C# to generate, propagate and train complex neuronal networks with technologies like backpropagation using weight decay, momentum term, manhattan training, flatspot elimination etc. What's coming, current development Weblog about current thoughts, developments and excperiences around the NeuroBox project. NeuroBox Designer A graphical user interface for composing and manipulating neural networks in a convenient way. QuickProp, RProp Improved learning algorithms will speed up the network training compared with backpropagation in many scenarios. Related People and Projects, Derived Works, Contributions Many Thanks for the contributions from the community (see 'Demos' and 'Links'), in particular to Francois Vanderseypen, Tobias Finazzi, Leopold Rehberger and Matt Jallo. Questions, Support Please use the contact form to contact me. :.
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