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http://hdl.handle.net/1942/23263
Title: | Forecasting Indoor Temperature Using Fuzzy Cognitive Maps with Structure Optimization Genetic Algorithm | Authors: | Poczeta, Katarzyna Yastrebov, Alexander PAPAGEORGIOU, Elpiniki |
Issue Date: | 2016 | Publisher: | Springer International Publishing | Source: | Fidanova, S. (Ed.). Recent advances in computational optimization: Results of the Workshop on Computational Optimization WCO 2015, Springer International Publishing,p. 65-80 | Series/Report: | Studies in Computational Intelligence | Series/Report no.: | 655 | Abstract: | Fuzzy cognitive map (FCM) is a soft computing methodology that allows to describe the analyzed problem as a set of nodes (concepts) and connections (links) between them. In this paper the Structure Optimization Genetic Algorithm (SOGA) for FCMs learning is presented for prediction of indoor temperature. The proposed approach allows to automatically construct and optimize the FCMmodel on the basis of historical multivariate time series. The SOGAdefines a newlearning error function with an additional penalty for coping with the high complexity present in anFCMwith a large number of concepts and connections between them. The aim of this study is the analysis of usefulness of the Structure Optimization Genetic Algorithm for fuzzy cognitive maps learning on the example of forecasting the indoor temperature of a house. A comparative analysis of the SOGA with other well-known FCM learning algorithms (Real-Coded Genetic Algorithm and Multi-Step Gradient Method) was performed with the use of ISEMK (Intelligent Expert System based on Cognitive Maps) software tool. The obtained results show that the use of SOGA allows to significantly reduce the structure of the FCM model by selecting the most important concepts, connections between them and keeping a high forecasting accuracy. | Notes: | [Poczeta, Katarzyna; Yastrebov, Alexander] Kielce Univ Technol, Al Tysiaclecia Panstwa Polskiego 7, PL-25314 Kielce, Poland. [Papageorgiou, Elpiniki I.] Technol Educ Inst TEI Cent Greece, 3rd Km Old Natl Rd Lamia Athens, Lamia 35100, Greece. [Papageorgiou, Elpiniki I.] Hasselt Univ, Fac Business Econ, Campus Diepenbeek Agoralaan Gebouw D, B-3590 Diepenbeek, Belgium. | Document URI: | http://hdl.handle.net/1942/23263 | ISBN: | 9783319401317 | DOI: | 10.1007/978-3-319-40132-4_5 | ISI #: | 000389695400005 | Rights: | © Springer International Publishing Switzerland 2016 | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2018 |
Appears in Collections: | Research publications |
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