๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Dynamics of probabilistic time delay models

โœ Scribed by G.P. Rangaiah; P.R. Krishnaswamy


Publisher
Elsevier Science
Year
1986
Weight
714 KB
Volume
33
Category
Article
ISSN
0300-9467

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Evolutionary learning of dynamic probabi
โœ Allan Tucker; Xiaohui Liu; Andrew Ogden-Swift ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 322 KB

In this paper, we explore the automatic explanation of multivariate time series MTS ลฝ . through learning dynamic Bayesian networks DBNs . We have developed an evolutionary algorithm which exploits certain characteristics of MTS in order to generate good networks as quickly as possible. We compare th

Time delay in simple chemostat models
โœ N. Macdonald ๐Ÿ“‚ Article ๐Ÿ“… 1976 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 306 KB

## Abstract The models of Monod and Williams, for the growth of unicellular organisms in chemostats, give strongly damped transients in the biomass and cell number when the flow rate of the chemostat is changed. A simple trick is used to incorporate time delay in these models while still allowing a

A probabilistic time delay description o
โœ B. A. Buffham; L. G. Gibilaro; M. N. Rathor ๐Ÿ“‚ Article ๐Ÿ“… 1970 ๐Ÿ› American Institute of Chemical Engineers ๐ŸŒ English โš– 628 KB

A simple model for describing residence time distributions (RTD) in packed beds is derived and applied to a trickle flow system. It is based on the concept of fluid elements being randomly delayed in time on their passage through the bed and leads to a simple and flexible rnathematical description.