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Volumn 5009 LNAI, Issue , 2008, Pages 556-563

Approximation and prediction of wages based on granular neural network

Author keywords

Classic and soft RBF network; Cloud models; Fuzzy system; Granular computing; Probabilistic time series models

Indexed keywords

APPROXIMATION ALGORITHMS; COMPUTATIONAL METHODS; ECONOMIC ANALYSIS; FORECASTING; FUZZY SYSTEMS; TIME SERIES ANALYSIS; WAGES;

EID: 44649143992     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-79721-0_75     Document Type: Conference Paper
Times cited : (3)

References (11)
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    • Marcek, M., Marcek, D.: RBF Neural Network Implementation of Fuzzy Systems: Application to Time Series Modeling. In: An, A., Stefanowski, J., Ramanna, S., Butz, C.J., Pedrycz, W., Wang, G. (eds.) RSFDGrC 2007. LNCS (LNAI), vol. 4482, pp. 500-507. Springer, Heidelberg (2007)
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    • Finding Fuzzy Rules from Ganular Time Series
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    • Yu, F., Pedricz, W., Yuan, J.: Finding Fuzzy Rules from Ganular Time Series. In: 11th IFSA World Congress, Beijing, pp. 1731-1735. Springer, Heidelberg (2005)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.