The paper introduces a direct approach to the identi"cation of non-linear di!erential equations from noisy input/output data. Both the parameter estimation and the structure determination problems are addressed. Central to the proposed methodology are two algorithms, a numerical di!erentiation algor
β¦ LIBER β¦
Nonlinear Data Utilization: From Direct Data Lookup to Behavioral Modeling
β Scribed by Hao Qi; Benedikt, J.; Tasker, P.J.
- Book ID
- 114661112
- Publisher
- IEEE
- Year
- 2009
- Tongue
- English
- Weight
- 709 KB
- Volume
- 57
- Category
- Article
- ISSN
- 0018-9480
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
A DIRECT APPROACH TO IDENTIFICATION OF N
β
D. COCA; S.A. BILLINGS
π
Article
π
1999
π
Elsevier Science
π
English
β 212 KB
An application of nonlinear mixed-effect
β
L. Iavarone; R. Gomeni
π
Article
π
2003
π
John Wiley and Sons
π
English
β 154 KB
A population pharmacokinetic (PK) analysis was performed on plasma concentrations of GW468816 observed in dogs after 10, 25, and 50 mg/kg/day repeated intravenous administration. A two-compartment model was fitted to the concentration-time data using the NONMEM program. Dose and time dependency of P
PMD30: AN IMPROVED MODEL TO CALCULATE UT
β
P McEwan; M Morrissey; CJ Currie
π
Article
π
2003
π
John Wiley and Sons
π
English
β 78 KB
A Method for Modeling Utilization Data f
β
Nicholas J. Horton; Richard Saitz; Nan M. Laird; Jeffrey H. Samet
π
Article
π
2002
π
Springer US
π
English
β 76 KB
Do stock market returns predict changes
β
Γlan T. Henry; Nilss Olekalns; Jonathan Thong
π
Article
π
2004
π
Springer-Verlag
π
English
β 249 KB
Comparative Analysis of Random Utility M
β
Riccardo, Rossi; Massimiliano, Gastaldi; Gregorio, Gecchele; Claudio, Meneguzzer
π
Article
π
2012
π
Elsevier
π
English
β 650 KB