Discovering Time-Series Building Blocks Using the ‘Significance Engine’
This paper presents a time-series prediction framework called the “Significance Engine” which contributes to the area of time-series prediction by presenting a novel, noise resistant mechanism that combines together the techniques of Takens' Theorem and dynamic self-organising maps. It is built...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2009-06-01
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| Series: | Journal of Algorithms & Computational Technology |
| Online Access: | https://doi.org/10.1260/174830109787913994 |