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02035nam a22003255i 4500 |
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121205s2013 gw | s |||| 0|eng d |
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|a 9783642334399
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024 |
7 |
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|a 10.1007/978-3-642-33439-9
|2 doi
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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245 |
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|a Time Series Analysis, Modeling and Applications :
|b A Computational Intelligence Perspective /
|c edited by Witold Pedrycz, Shyi-Ming Chen.
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250 |
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|a 1st ed. 2013.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2013.
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300 |
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|a VIII, 404 p. :
|b online resource.
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Intelligent Systems Reference Library,
|v 47
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|a From the Contents: The links between statistical and fuzzy models for time series analysis and forecasting -- Incomplete time series: imputation through Genetic Algorithms -- Intelligent aggregation and time series smoothing -- Financial fuzzy Time series models based on ordered fuzzy numbers -- Stochastic-fuzzy knowledge-based approach to temporal data modeling.-A Novel Choquet integral composition forecasting model for time series data based on completed extensional L-measure -- An application of enhanced knowledge models to fuzzy time series -- A wavelet transform approach to chaotic short-term forecasting -- Fuzzy forecasting with fractal analysis for the time series of environmental pollution -- Support vector regression with kernel Mahalanobis measure for financial forecast.
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|a Computational intelligence.
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|a Artificial intelligence.
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|a Computational Intelligence.
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2 |
4 |
|a Artificial Intelligence.
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700 |
1 |
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|a Pedrycz, Witold.
|e editor.
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700 |
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|a Chen, Shyi-Ming.
|e editor.
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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900 |
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|a Libro descargado a ALEPH en bloque (proveniente de proveedor)
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