| Download | - View accepted manuscript: Time Series Models Discovery with Similarity-Based Neuro-Fuzzy Networks and Evolutionary Algorithms (PDF, 546 KiB)
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| Author | Search for: Valdés, Julio |
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| Format | Text, Article |
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| Conference | Proceedings of the 2002 IEEE World Congress on Computational Intelligence (WCCI'02), May 12-17, 2002., Hawaii, USA |
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| Abstract | The discovery of patterns of dependency in heterogeneous multivariate dynamic systems is approached with similarity-based neuro-fuzzy networks and evolutionary algorithms. Search space contains general auto-regressive non-linear models representing the dependency structure of the process. Examples show that the proposed approach gives better results than the classical statistical one. |
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| Publication date | 2002 |
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| Language | English |
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| NRC number | NRCC 44901 |
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| NPARC number | 8913484 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 31d9a7b0-f8f9-4666-b468-88b99342d1cf |
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| Record created | 2009-04-22 |
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| Record modified | 2020-03-30 |
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