Hardware architecture of the Protein Processing Associative Memory and the effects of dimensionality and quantisation on performance
- Submitting institution
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University of York
- Unit of assessment
- 12 - Engineering
- Output identifier
- 55025923
- Type
- D - Journal article
- DOI
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10.1007/s10710-014-9217-1
- Title of journal
- Genetic programming and evolvable machines
- Article number
- -
- First page
- 245
- Volume
- 15
- Issue
- 3
- ISSN
- 1389-2576
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2014
- 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
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5
- Research group(s)
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B - Intelligent Systems and Nano-Science
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper analyses the performance of a memory structure endowed with inherent fault-tolerance properties through a novel bio-inspired architecture. It presents the outcome from the EPSRC-funded SABRE project with UWE Bristol Robotics Lab (FP/F06219211) . The fault tolerance aspects of the bio-inspired computational framework provided the baseline for the reliability components of the EPSRC GRACEFUL follow-on project with the universities of Manchester and Southampton (EP/L000563/1, £1.3M).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -