- Growing neural gas
Growing Neural Gas is a self organization neural network first proposed by Bernd Fritzke. Unlike the earlier
Neural Gas , Growing Neural Gas (GNG) can add and delete nodes during algorithm execution. The growth mechanism is based onGrowing Cell Structures andcompetitive hebbian learning Compared to Neural Gas, GNG has the following distinctions:
1. Ability to add and delete nodes.
2. Local Error measurements are noted at each step helping it to locally insert/delete nodes.
3. Edges are connected between nodes, so a sufficiently old edge is deleted. Such edges are intended placeholders for localized data distribution.
4. Such edges also help to locate distinct clusters (those clusters are not connected by edges).
ee also
*
Neural Gas
*Self Organizing Map References and sources
* Fritzke's site [http://www.neuroinformatik.ruhr-uni-bochum.de/ini/VDM/research/gsn/JavaPaper/node19.html]
* Paper: B. Fritzke.Fast learning with incremental RBF networks.Neural Processing Letters, 1(1):-5, 1994b.External links
* [http://www.e-nuts.net/en/growing-neural-gas Growing Neural Gas videos] Three videos that show how neural gas grow inside a 3d structure.
* [http://www.neuroinformatik.ruhr-uni-bochum.de/ini/VDM/research/gsn/DemoGNG/GNG.html DemoGNG] An interactive applet showing how growing neural gas compares to other similar algorithms.
* [http://homepages.feis.herts.ac.uk/~nngroup/software.html Java Competitve Learning Application] A suite of Unsupervised Neural Networks (including Growing Neural Gas) written in Java. Complete with all source code.
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