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. 2015 Jun 6;14:54. doi: 10.1186/s12938-015-0050-4

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© Urwyler et al. 2015

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Forward chaining inference engine. Block diagram showing the forward chaining inference engine of the rule based inference (RBI) classifier. The forward chaining engine receives the sorted data from the database of facts and behavioural parameters (P ₁, P ₂, P ₃, P _j) the rule repository. The sorted data from the database of facts are converted to ambient value matrices (S _i). The rules (Rule ₁, Rule ₂, Rule ₃,…, Rule _k) are built upfront using the behavioural parameters.