A study on the generalized approximation modeling method based on fitting sensitivity for prediction of engine performance
From MaRDI portal
Publication:2398791
DOI10.1155/2017/5729786zbMath1368.93020OpenAlexW2592763334WikidataQ59143221 ScholiaQ59143221MaRDI QIDQ2398791
Lin Lin, Shisheng Zhong, Fang Wang
Publication date: 21 August 2017
Published in: Discrete Dynamics in Nature and Society (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2017/5729786
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Cites Work
- Statistical calibration and exact one-sided simultaneous tolerance intervals for polynomial regression
- Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions
- Model detection for functional polynomial regression
- A logical hierarchical hidden semi-Markov model for team intention recognition
- Forecasting air passenger traffic by support vector machines with ensemble empirical mode decomposition and slope-based method
- A novel method for decoding any high-order hidden Markov model
- On global exponential stability of discrete-time Hopfield neural networks with variable delays
- Maximum Likelihood Fitting of ARMA Models to Time Series with Missing Observations
- Bayesian Information Criterion for Censored Survival Models
This page was built for publication: A study on the generalized approximation modeling method based on fitting sensitivity for prediction of engine performance
