When Neural Networks Meet Decisional DNA: A Promising New Perspective for Knowledge Representation and Sharing

Author(s)
Zhang, Haoxi
Sanin, Cesar
Szczerbicki, Edward
Publication Date
2016
Abstract
<p>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 domain’s 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.</p>
Citation
Cybernetics and Systems, 47(1-2), p. 140-148
ISSN
1087-6553
0196-9722
Link
Publisher
Taylor & Francis Inc
Title
When Neural Networks Meet Decisional DNA: A Promising New Perspective for Knowledge Representation and Sharing
Type of document
Journal Article
Entity Type
Publication

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