Activation-Based Recursive Self-Organising Maps: A General Formulation and Empirical Results

Author:

Hynna Kevin I.,Kaipainen Mauri

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Reference23 articles.

1. Barreto G., De A., Araujo A.F.R. (2001): Time in self-organizing maps: an overview of models. International Journal of Computer Research. Special Issue on Neural Networks: Past, Present and Future 10(2): 139–179

2. Bingham, E. and Mannila, H.: Random projection in dimensionality reduction: Applications to image and text data. In: Proceedings of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2001), August 26–29, pp. 245–250, San Francisco, CA, USA, 2001.

3. Chappell G.J., Taylor J.G. (1993): The temporal Kohonen map. Neural Networks 6(3): 441–445

4. Elman J. (1990): Finding structure in time. Cognitive Science 14, 179–211

5. Hertz, J., Krogh, A. and Palmer, R.: Introduction to the theory of neural computation. Reading, MA: A Lecture Notes volume in the Santa Fe Institute Studies in the Sciences of Complexity, Perseus Books, Reading, MA, 1991.

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