Work related to Growing Self-organizing Networks

This is a list of related published work by other authors. All publications in the list are concerned with implementation, application, investigation or extension of my growing self-organizing models.

Additions are welcome. Please email complete reference (bibtex) and URL of both author(s) and paper when available.

Please note that the alphabetical ordering below is based on the first author's first name if there is a hyperlink to his home page (silly technical problem).

1

R. Berlich, M. Kunze , and J. Steffens.
A Comparison between the Performance of Feed Forward Neural Networks and the Supervised Growing Neural Gas Algorithm .
In 5th Artificial Intelligence in High Energy Physics workshop, Lausanne, 1996. World Scientific.

2

V. Burzevski and C. K. Mohan .
Hierarchical Growing Cell Structures .
In ICNN96: Proc. Int'l. Conf. Neural Networks, 1996.

3

J. Dopazo and Jose Maria Carazo .
Phylogenetic reconstruction using an unsupervised growing neural network that adopts the topology of a phylogenetic tree .
Journal of Molecular Evolution, 1997.
in press.

4

Christian-A. Bohn .
Efficiently representing the radiosity kernel through learning .
In X. Pueyo and P. Schröder, editors, Rendering Techniques '96, pages 123-132, Wien, Austria, 1996. Springer-Verlag Wien.
Proceedings of the 7th EUROGRAPHICS workshop on rendering in Porto, Portugal, June 17-19, 1996.

5

Christian-A. Bohn .
Finite element mesh generation using growing cell structures networks.
1997.
accepted for the International Conference on Engineering Applications of Neural Networks (EANN '97), Stockholm.

6

Christian-A. Bohn .
An incremental unsupervised learning scheme for function approximation .
In Proceedings of the 1997 IEEE International Conference on Neural Networks, pages 1792-1797, Piscataway, NJ, June 1997. IEEE Service Center.

7

E. Maël .
A Hierarchical Network for Learning Robust Models of Kinematic Chains .
In C. von der Malsburg, W. von Seelen, J. Vorbrüggen, and B. Sendhoff, editors, ICANN'96: International Conference on Artificial Neural Networks, pages 617-622. Springer, 1996.

8

F. Hamker and D. Heinke.
Implementation and Comparison of Growing Neural Gas, Growing Cell Structures and Fuzzy Artmap .
Technical report, Schriftenreihe des FG Neuroinformatik der TU Ilmenau, Report 1/97, ISSN 0945-7518, 1997.

9

F. Hamker and H.-M. Gross .
Task-based representation in lifelong learning incremental neural networks .
Technical report, 1997.

10

G. v. Wichert .
Selforganizing Visual Perception for Mobile Robot Navigation .
In 1st Euromicro Workshop on Advanced Mobile Robots (EUROBOT'96), pages 194-200, Kaiserslautern, Germany, 1996. IEEE Computer Society Press.

11

J. Bruske and G. Sommer.
Dynamic cell structure learns perfectly topology preserving map.
Neural Computation, 7(4):845-865, 1995.

Note from B. Fritzke: DCS is a model rather similar to growing neural gas. Both models were developed independently at about the same time.

12

M. Kunze .
Über die Anwendung Neuronaler Systeme in der Teilchenphysik.
Habilitationsschrift, Ruhr-Universität Bochum, 1996.

13

M. Kunze and J. Steffens.
Growing Cell Structure and Neural Gas - Incremental Neural Networks .
In 4th Artificial Intelligence in High Energy Physics workshop, Pisa, 1995.

14

M. Kunze and J. Steffens.
The Neural Network Objects .
In 5th Artificial Intelligence in High Energy Physics workshop, Lausanne, 1996. World Scientific.
(software available) .

15

U. Rothaug, E. Yanenko, and K. Leibnitz.
Artificial Neural Networks Used for Way Optimization in Multi-Head Systems in Application to Electrical Flying Probe Testers .
Technical Report 88, University of Würzburg, Institute of Computer Science, 1994.

16

J. Steffens and M. Kunze .
Implementation of the supervised growing cell structure on the CNAPS Neurocomputer .
In F. Fogelman and P. Gallinari, editors, ICANN'95: International Conference on Artificial Neural Networks, pages 51-56, Paris, France, 1995. EC2 & Cie.

17

C. Tumuluri, C. K. Mohan , and A. Choudhary.
Unsupervised Algorithms for Learning Emergent Spatio-Temporal Correlations .
Technical Report CIS-96-01, Syracuse University, 1996.

18

J. Zavrel.
Neural Information Retrieval .
Technical report, University of Amsterdam, Dept. of Computational Linguistics, 1995.