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Publication search results
found 23 matches
- 2020
- Mohammad Abu Jami'in
, Khairul Anam
, Riries Rulaningtyas, Urip Mudjiono, Adianto Adianto, Hui-Ming Wee:
Hierarchical linear and nonlinear adaptive learning model for system identification and prediction. Appl. Intell. 50(6): 1699-1710 (2020) - Hongbiao Zhou, Yu Zhang, Weiping Duan, Huanyu Zhao:
Nonlinear systems modelling based on self-organizing fuzzy neural network with hierarchical pruning scheme. Appl. Soft Comput. 95: 106516 (2020) - Jiaorao Wang, Chunyue Song, Jun Zhao, Zuhua Xu:
A PWA model identification method for nonlinear systems using hierarchical clustering based on the gap metric. Comput. Chem. Eng. 138: 106838 (2020) - Colin Lewis-Beck, Victoria A. Walker
, Jarad Niemi
, Petruta Caragea, Brian K. Hornbuckle
:
Extracting Agronomic Information from SMOS Vegetation Optical Depth in the US Corn Belt Using a Nonlinear Hierarchical Model. Remote. Sens. 12(5): 827 (2020) - Lukas Schmitt, Martin Keller, Thivaharan Albin, Dirk Abel:
Real-Time Nonlinear Model Predictive Control for the Energy Management of Hybrid Electric Vehicles in a Hierarchical Framework. ACC 2020: 1961-1967 - 2019
- Martin Keller, Lukas Schmitt, Dirk Abel:
Nonlinear Hierarchical Model Predictive Control for the Energy Management of a Hybrid Electric Vehicle. MED 2019: 451-456 - 2018
- Colin Lewis-Beck, Petruta Caragea, Jarad Niemi, Brian K. Hornbuckle, Victoria A. Walker
:
A Nonlinear Hierarchical Model for Forecasting Crop Growth in the US Corn Belt. IGARSS 2018: 5956-5959 - 2017
- Peng Wang, Peng Zhang, Chuan Zhou, Zhao Li, Hong Yang:
Hierarchical evolving Dirichlet processes for modeling nonlinear evolutionary traces in temporal data. Data Min. Knowl. Discov. 31(1): 32-64 (2017) - 2016
- Ziyun Wang
, Yanxia Shen, Dinghui Wu, Zhicheng Ji:
Hierarchical least squares algorithms for nonlinear feedback system modeling. J. Frankl. Inst. 353(10): 2258-2269 (2016) - 2013
- Peipei Hu, Feng Ding, Jie Sheng:
Auxiliary model based least squares parameter estimation algorithm for feedback nonlinear systems using the hierarchical identification principle. J. Frankl. Inst. 350(10): 3248-3259 (2013) - Marica Manisera:
Assessing Stability in NonLinear PCA with Hierarchical Data. Statistical Models for Data Analysis 2013: 217-224 - 2012
- Maengseok Noh, Lang Wu, Youngjo Lee:
Hierarchical likelihood methods for nonlinear and generalized linear mixed models with missing data and measurement errors in covariates. J. Multivar. Anal. 109: 42-51 (2012) - Adrian Tica, Hervé Guéguen
, Didier Dumur, Damien Faille, Frans Davelaar:
Hierarchical nonlinear model predictive control for combined cycle start-up optimization. CDC 2012: 2593-2598 - 2011
- Kristin Tøndel, Ulf G. Indahl, Arne B. Gjuvsland
, Jon Olav Vik
, Peter J. Hunter
, Stig W. Omholt, Harald Martens:
Hierarchical Cluster-based Partial Least Squares Regression (HC-PLSR) is an efficient tool for metamodelling of nonlinear dynamic models. BMC Syst. Biol. 5: 90 (2011) - Zou Qingming, Zhong Y. Zhu:
Testing the Correlation and Heterogeneity for Hierarchical Nonlinear Mixed-Effects Models. Adv. Decis. Sci. 2011: 976823:1-976823:16 (2011) - Armen Bagdasaryan
, Tai-Hoon Kim:
A Model of Hierarchically Consistent Control of Nonlinear Dynamical Systems. FGIT-CA/CES3 2011: 58-64 - 2009
- Qin Liu, Nancy R. Cook, Anna Bergström, Chung-Cheng Hsieh:
A two-stage hierarchical regression model for meta-analysis of epidemiologic nonlinear dose-response data. Comput. Stat. Data Anal. 53(12): 4157-4167 (2009) - 2008
- Maengseok Noh, Youngjo Lee:
Hierarchical-likelihood approach for nonlinear mixed-effects models. Comput. Stat. Data Anal. 52(7): 3517-3527 (2008) - Wen Yu, Floriberto Ortiz Rodriguez, Marco A. Moreno-Armendáriz
:
Hierarchical Fuzzy CMAC for Nonlinear Systems Modeling. IEEE Trans. Fuzzy Syst. 16(5): 1302-1314 (2008) - Xin Wang, Hui Yang, Shaoyuan Li, Wenxin Liu, Li Liu, David A. Cartes:
A Nonlinear Hierarchical Multiple Models Neural Network Decoupling Controller. ISNN (2) 2008: 119-127 - 2006
- Xin Wang, Hui Yang:
Hierarchical Multiple Models Neural Network Decoupling Controller for a Nonlinear System. ICONIP (3) 2006: 636-644 - 2005
- Yan Karklin, Michael S. Lewicki:
A Hierarchical Bayesian Model for Learning Nonlinear Statistical Regularities in Nonstationary Natural Signals. Neural Comput. 17(2): 397-423 (2005) - 2004
- Lutz Näthke, Volodymyr Burkhay, Lars Hedrich, Erich Barke:
Hierarchical Automatic Behavioral Model Generation of Nonlinear Analog Circuits Based on Nonlinear Symbolic Techniques. DATE 2004: 442-447
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