Artificial Epigenetic Networks : Automatic Decomposition of Dynamical Control Tasks using Topological Self-Modification
- Submitting institution
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University of York
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 59957520
- Type
- D - Journal article
- DOI
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10.1109/TNNLS.2015.2497142
- Title of journal
- IEEE transactions on neural networks and learning systems
- Article number
- 7372471
- First page
- 218
- Volume
- 28
- Issue
- 1
- ISSN
- 2162-237X
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
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-
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is one of the first pieces of work to incorporate the modular biological epigenetic process of chromatins into artificial neural network architectures, and is published in one of the top journals in the field of ANNs.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -