Neuronale Netze

Programme zur Erstellung und Simulation von neuronalen Netzen

Neurolator von Brain Innovation
Ein Simulationsprogramm für neuronale Netze.

GENESIS (short for GEneral NEural SImulation System) is a general purpose simulation platform which was developed to support the simulation of neural systems ranging from complex models of single neurons to simulations of large networks made up of more abstract neuronal components.

NEFCON u. a. von Otto-von-Guericke-Universität Magdeburg - Neuro Fuzzy
NEFCON is a model for neuro-fuzzy control. It can learn fuzzy rules and fuzzy sets by reinforcement learning. NEFCON represents a normal fuzzy controller, can learn fuzzy rules incrementally or decrementally, and learns fuzzy sets by using simple heuristics. The learning alogrithm uses a linguistic error measure that is expressed by fuzzy rules. The learning algorithm does not afflict the semantics of the underlying fuzzy controller. The system is always interpretable in terms of fuzzy rules.

Netlab für MatLab von I. Nabney und C. M. Bishop
The Netlab simulation software is designed to provide the central tools necessary for the simulation of theoretically well founded neural network algorithms for use in teaching, research and applications development. It consists of a toolbox of MatLab functions and scripts based on the approach and techniques described in "Neural Networks for Pattern Recognition" by C. M. Bishop (1995), but also including more recent developments in the field.

SNNS von Universität Stuttgart
SNNS (Stuttgart Neural Network Simulator) is a software simulator for neural networks on Unix workstations developed at the Institute for Parallel and Distributed High Performance Systems (IPVR) at the University of Stuttgart. The goal of the SNNS project is to create an efficient and flexible simulation environment for research on and application of neural nets.

FOOL is a Fuzzy system development tool with interactive 'foolproof' graphical user interface.

BrainBox von N. Fraser
BrainBox is a Windows program that allows one to graphically build and execute neural networks. Use the mouse to drop neurons, drag links from one neuron to another, adjust the weights, and watch what happens when the network executes. There is no automated learning; you are in complete control.

Simulink für MatLab von MathWorks
Simulink ist ein interaktives Tool zur Modellierung, Simulation und Analyse von dynamischen Mehrdomänensystemen. Sie können mit Simulink ein Blockdiagramm erstellen, das Systemverhalten simulieren, die Leistung beurteilen und Ihre Entwürfe verfeinern.

MCell von T. M. Bartol Jr. am Computational Neurobiology Laboratory des Salk Institute und J . R. Stiles am Pittsburgh Supercomputing Center
MCell's Monte Carlo algorithms simulate synaptic transmission using 3D random walk movements for individual molecules. The positions of surfaces and effector sites are mapped in space, and "encounters" with diffusing ligand molecules are detected at points of intersection with the ligand's motion. The final outcome of each encounter is decided by comparing the value of a random number to the probability of each possible outcome.

MemBrain von MemBrain
MemBrain ist ein kostenloser, leistungsstarker Neuronale Netze Editor und Simulator für Microsoft Windows, der Neuronale Netze von beliebiger Größe und Architektur unterstützt. Durch seine flexiblen Anzeige-Einstellungen kann MemBrain sowohl für große Netze mit vielen Neuronen und Verbindungen, als auch für sehr kleine Netze verwendet werden, bei denen es mehr darauf ankommt, was mit einzelnen Neuronen oder Verbindungen auf unterster Ebene geschieht.

NetLogo von U. Wilensky an der Northwestern University
NetLogo is a programmable modeling environment for simulating natural and social phenomena. It is particularly well suited for modeling complex systems developing over time. Modelers can give instructions to hundreds or thousands of independent "agents" all operating in parallel. This makes it possible to explore the connection between the micro-level behavior of individuals and the macro-level patterns that emerge from the interaction of many individuals.

RePast von Social Science Research Computing der University of Chicago
RePast is a software framework for creating agent based simulations using the Java language (requires version Java 1.4 or greater). It provides a library of classes for creating, running, displaying and collecting data from an agent based simulation. In addition, RePast can take snapshots of running simulations, and create quicktime movies of simulations. RePast borrows much from the Swarm simulation toolkit and can properly be termed "Swarm-like." In addition, RePast includes such features as run-time model manipulation via gui widgets first found in the Ascape simulation toolkit.

Stella von isee systems
STELLA software and associated framework (Systems Thinking) enable professionals in science and research to represent key physical, biological and social processes operationally, sanity-check those representations through simulation, and share insights and results with colleagues in an experiential manner.

NeuroSolutions von NeuroDimension
NeuroSolutions is a development software that combines a modular, icon-based network design interface with an implementation of advanced learning procedures, such as conjugate gradients and backpropagation through time. Some other notable features include C++ source code generation, customized components through DLLs, neuro-fuzzy architectures, and programmatic control from Visual Basic using OLE Automation.

MLC++ von SGI
MLC++ is a library of C++ classes for supervised machine learning. MLC++ (up to version 1.3.X) was developed at Stanford University and was public domain; that version is still distributed as such by SGI. SGI MLC++ (V2.0 and higher) includes improvements to MLC++. These improvements are research domain only and are available in both source and object code formats through this web site.

PDP++ von R. C. O'Reilly am Department of Psychology an der University of Colorado at Boulder
The PDP++ software is a neural-network simulation system written in C++. It represents the next generation of the PDP software originally released with the "Explorations in Parallel Distributed Processing" handbooks by J. L. McClelland and D. E. Rumelhart (1987, 1988, 1989). It is easy enough for novice users, but very powerful and flexible for research use.

NSL von A. Weitzenfeld et al.
NSL, Neural Simulation Language, is a simulation system for large-scale general  neural networks. NSL provides a simulation environment simplifying the task of modeling neural networks. In particular, NSL supports neural models having as basic data structure neural layers with similar properties and similar connection patterns, where neurons are modeled as leaky integrators with connections subject to diverse learning rules. Discussions and tutorials can be found in "The Neural Simulation Language. A System for Brain Modeling" by A. Weitzenfeld, M. A. Arbib, and A. Alexander (2002).


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