When neural networks meet decisional DNA: a promising new perspective for knowledge representation and sharing

Title: When neural networks meet decisional DNA: a promising new perspective for knowledge representation and sharing
Creator: Zhang, Haoxi; Sanin, Cesar; Szczerbicki, Edward
Relation: Cybernetics and Systems Vol. 47, Issue 1-2, p. 140-148
Publisher Link: http://dx.doi.org/10.1080/01969722.2016.1128776
Publisher: Taylor & Francis
Resource Type: journal article
Date: 2016
Description: In this article, we introduce a novel concept combining neural network technology and Decisional DNA for knowledge representation and sharing. Instead of using traditional machine learning and knowledge discovery methods, this approach explores the way of knowledge extraction through deep learning processes based on a domains past decisional events captured by Decisional DNA. We compare our approach with kNN (k-nearest neighbors), logistic regression, and AdaBoost in classification tasks, and the results show that our approach is very promising with regard to the enhancement of the accuracy of knowledge-based predictions required in complex decision-making problems.
Subject: decisional DNA; deep learning; knowledge representation; neural networks; set of experience knowledge structure
Identifier: http://hdl.handle.net/1959.13/1322375
Identifier: uon:24575
Identifier: ISSN:0196-9722
Language: eng
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