Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.12540/450
DC Field | Value | Language |
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dc.contributor.author | Ehimwenma, Kennedy E. | en_US |
dc.contributor.author | Crowther, Paul | en_US |
dc.contributor.author | Beer, Martin | en_US |
dc.date.accessioned | 2021-02-21T07:44:33Z | - |
dc.date.available | 2021-02-21T07:44:33Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | Ehimwenma, K. E., Crowther, P., & Beer, M. (2016). A system of serial computation for classified rules prediction in non-regular ontology trees. International Journal of Artificial Intelligence and Applications (IJAIA), 7(2), 21-33. | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12540/450 | - |
dc.description.abstract | Objects or structures that are regular take uniform dimensions. Based on the concepts of regular models, our previous research work has developed a system of a regular ontology that models learning structures in a multiagent system for uniform pre-assessments in a learning environment. This regular ontology has led to the modelling of a classified rules learning algorithm that predicts the actual number of rules needed for inductive learning processes and decision making in a multiagent system. But not all processes or models are regular. Thus this paper presents a system of polynomial equation that can estimate and predict the required number of rules of a non-regular ontology model given some defined parameters. | en_US |
dc.format.extent | 13 pages | en_US |
dc.format.mimetype | application/pdf | en_US |
dc.language.iso | eng | en_US |
dc.publisher | AIRCC Publishing Corporation | en_US |
dc.relation.ispartof | International journal of artificial intelligence and applications (IJAIA) | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | - |
dc.subject.lcsh | Students | en_US |
dc.subject.lcsh | Artificial Intelligence | en_US |
dc.title | A system of serial computation for classified rules prediction in non-regular ontology trees | en_US |
dc.type | Article | en_US |
dc.rights.license | Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) | en_US |
dc.identifier.doi | 10.5121/ijaia.2016.7202 | - |
wku.group | College of Science and Technology | en_US |
dc.subject.keywords | Multiagent | en_US |
dc.subject.keywords | Classification Learning | en_US |
dc.subject.keywords | Predictive Modelling | en_US |
dc.subject.keywords | Polynomial | en_US |
dc.subject.keywords | Computation | en_US |
dc.subject.keywords | Ontology Tree | en_US |
dc.subject.keywords | Boolean | en_US |
Appears in Collections: | Scholarly Publications |
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wku_schlrs_publcn_000153.pdf | 251.25 kB | Adobe PDF | ![]() View/Open |
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