Butcher, JB, Verstraeten, D, Schrauwen, B, Day, CR and Haycock, PW (2014) Defect detection in reinforced concrete using random neural architectures. Computer Aided Civil and Infrastructure Engineering, 29 (3). pp. 191-207.

Full text not available from this repository.
Item Type: Article
Uncontrolled Keywords: concrete, defects, ElectroMagnetic Anomaly Detection (EMAD), Echo State Networks (ESNs) and Extreme Learning Machines (ELMs)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Natural Sciences > School of Life Sciences
Depositing User: Symplectic
Date Deposited: 09 Apr 2015 11:31
Last Modified: 14 Jul 2017 11:21
URI: http://eprints.keele.ac.uk/id/eprint/313

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