Zhang, Qian (2010) Transparent Knowledge Discovery from Data: The Power of Fuzzy Modelling and Nature-inspired Multi-objective Optimisation. VDM Verlag Dr. Müller, 208 pp. ISBN 978-3-639-30740-5. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:50529)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: https://www.omniscriptum.com/en/omniscriptum/omnis... |
Abstract
With the rapid development in the human capabilities to both generate and collect data, the discovery of knowledge from data has become a practical and popular research topic. In this book, the knowledge discovery from data is conducted from two overarching viewpoints: first, developing transparent prediction models from the data that represent input-output relationships using a cooperative fuzzy modelling framework; second, based on these developed models, finding the optimal designs (solutions) to achieve a set of predefined objectives using nature-inspired optimisation algorithms. The theoretical aspects behind these two research facets are described and the associated experimental studies are also carried out. This book is therefore addressed to the researchers and practitioners, who are interested in nature-inspired computation and systems modelling with intelligent systems.
Item Type: | Book |
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Subjects: |
Q Science > Q Science (General) > Q335 Artificial intelligence T Technology > TA Engineering (General). Civil engineering (General) > TA168 Systems engineering T Technology > TA Engineering (General). Civil engineering (General) > TA401 Materials engineering and construction |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Qian Zhang |
Date Deposited: | 17 Sep 2015 15:49 UTC |
Last Modified: | 16 Nov 2021 10:21 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/50529 (The current URI for this page, for reference purposes) |
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