Growing Grid — a self-organizing network with constant neighborhood range and adaptation strength

Bernd Fritzke1
1Institut für Neuroinformatik, Ruhr-Universität Bochum, Bochum, Germany

Tóm tắt

Từ khóa


Tài liệu tham khảo

T. Kohonen. Analysis of a simple self-organizing process,Biological Cybernetics, vol. 44, pp. 135–140, 1982.

J. A. Kangas, T. Kohonen, T. Laaksonen. Variants of self-organizing maps,IEEE Transactions on Neural Networks, vol. 1, no. 1, pp. 93–99, 1990.

B. Fritzke. Kohonen feature maps and growing cell structures — a performance comparison, in L. Giles, S. Hanson, J. Cowan, eds,Advances in Neural Information Processing Systems 5, pp. 123–130. Morgan Kaufmann Publishers, San Mateo, CA, 1993.

T. M. Martinetz, K. J. Schulten. A “neural-gas≓ network learns topologies, in T. Kohonen, K. Maekisara, O. Simula, J. Kangas, eds,Artificial Neural Networks, pp. 397–402. North-Holland, Amsterdam, 1991.

B. Fritzke. A growing neural gas network learns topologies, in G. Tesauro, D. S. Touretzky, T. K. Leen, eds,Advances in Neural Information Processing Systems 7, pp. 625–632, MIT Press, Cambridge MA, 1995.

B. Fritzke. Growing cell structures — a selforganizing network for unsupervised and supervised learning,Neural Networks, vol. 7, no. 9, pp. 1441–1460, 1994.

J. S. Rodrigues, L. B. Almeida. Improving the learning speed in topological maps of patterns, inProceedings of INNC, pp. 813–816, Paris, 1990.

H.-U. Bauer, T. Villmann. Growing a hypercubical output space in a self-organizing feature map.Tr-95-030, International Computer Science Institute, Berkeley, 1995.