𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Parameter estimation in non-extensive thermostatistics

✍ Scribed by Jan Naudts

Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
130 KB
Volume
365
Category
Article
ISSN
0378-4371

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Possibilistic and probabilistic fuzzy cl
Possibilistic and probabilistic fuzzy clustering: unification within the framework of the non-extensive thermostatistics
✍ Michel MΓ©nard; Vincent Courboulay; Pierre-AndrΓ© Dardignac πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 254 KB

Fuzzy clustering algorithms are becoming the major technique in cluster analysis. In this paper, we consider the fuzzy clustering based on objective functions. They can be divided into two categories: possibilistic and probabilistic approaches leading to two di erent function families depending on t

Endogenous model state and parameter est
Endogenous model state and parameter estimation from an extensive batch experiment
✍ K. J. Keesman; H. Spanjers πŸ“‚ Article πŸ“… 2000 πŸ› John Wiley and Sons 🌐 English βš– 164 KB πŸ‘ 2 views

In this paper an extensive batch experiment of endogenous process behavior in an aerobic biodegradation process is presented. From these experimental data, comprising measurements of MLVSS (mixed liquor volatile suspended solids) and respiration rate, in a first step the states and unknown parameter

NON-LINEAR PARAMETER ESTIMATION USING VO
NON-LINEAR PARAMETER ESTIMATION USING VOLTERRA AND WIENER THEORIES
✍ A.A. Khan; N.S. Vyas πŸ“‚ Article πŸ“… 1999 πŸ› Elsevier Science 🌐 English βš– 190 KB

This study explores the possibility of non-linear parameter estimation through use of Volterra and Wiener theories. An engineering approach is suggested by considering a single-degree-of-freedom system with cubic stiffness non-linearity. A third order kernel representation of the system response is