Abstract
A new random sequence generator based on a clipped Hopfield neural network is proposed. Sequences produced by the proposed generator have passed standard statistical tests, exhibiting a good random behavior. By executing the neural network in a parallel architecture in the proposed generator, random outputs of variable length are obtained. The parallel structure of the clipped Hopfield neural network results in fast operation and can easily be implemented using hardware.
| Original language | English |
|---|---|
| Title of host publication | Advances in Neural Networks and Applications |
| Publisher | World Scientific and Engineering Academy and Society |
| Pages | 253-255 |
| ISBN (Print) | 9608052262 |
| Publication status | Published - 2001 |
Research Keywords
- Hardware
- Hopfield neural network
- Parallel structure
- Random sequence generator
- Statistical tests
- Variable length
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