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The use of conditional cost functions to generate estimable mixed demand systems Journal article
American Journal of Agricultural Economics, 2019,Volume: 89,Issue: 2,Page: 273-286
Authors:  Wong,K. K.Gary;  Park,Hoanjae
Favorite |  | TC[WOS]:1 TC[Scopus]:1 | Submit date:2019/06/26
Conditional cost functions  Mixed demands  Numerical inversion estimation method  
An improved method of handling missing values in the analysis of sample entropy for continuous monitoring of physiological signals Journal article
Entropy, 2019,Volume: 21,Issue: 3
Authors:  Dong X.;  Chen C.;  Geng Q.;  Cao Z.;  Chen X.;  Lin J.;  Jin Y.;  Zhang Z.;  Shi Y.;  Zhang X.D.
Adobe PDF | Favorite |  | TC[WOS]:7 TC[Scopus]:9 | Submit date:2021/03/03
Complexity  Medical Information  Missing Values  Physiological Data  Sample Entropy  
Representational learning for fault diagnosis of wind turbine equipment: A multi-layered extreme learning machines approach Journal article
Energies, 2016,Volume: 9,Issue: 6
Authors:  Yang Z.-X.;  Wang X.-B.;  Zhong J.-H.
Favorite |  | TC[WOS]:38 TC[Scopus]:55 | Submit date:2018/12/22
Autoencoder (Ae)  Classification  Extreme Learning Machines (Elm)  Fault Diagnosis  Wind Turbine  
The Use of Conditional Cost Function to Generate Estimable Mixed Demand Systems Journal article
AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS, 2007,Volume: 89,Issue: 2,Page: 273-286
Authors:  Wong, K. K. Gary;  Park, Hoanjae
Favorite |  | TC[WOS]:1 TC[Scopus]:1 | Submit date:2019/07/23
Conditional Cost Functions  Mixed Demands  Numerical Inversion Estimation Method