Fastest learning in small world neural networks

Details Fastest learning in small world neural networks Fastest learning in small world neural networks

2004-02-16

arxiv.org/abs/physics/0402076v2

Phys. Lett. A336 (2005) 8-15.

Physics

Biological Physics

Text completely revised (14 pages), all new figures (7 figs)

Scientific paper

10.1016/j.physleta.2004.12.078

We investigate supervised learning in neural networks. We consider a multi-layered feed-forward network with back propagation. We find that the network of small-world connectivity reduces the learning error and learning time when compared to the networks of regular or random connectivity. Our study has potential applications in the domain of data-mining, image processing, speech recognition, and pattern recognition.

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