Multi-model based PSO method for burden distribution matrix optimization with expected burden distribution output behaviors

Author(s):  
Yong Zhang ◽  
Ping Zhou ◽  
Guimei Cui
2013 ◽  
Vol 313-314 ◽  
pp. 1078-1081
Author(s):  
Ye Sun ◽  
Guo Xi Wu ◽  
Ren Chen ◽  
Li Na Sun ◽  
Hai Feng Li

In this paper, a numerical simulation model based on discrete element method (DEM) has been developed to analyze the burden distribution in the Melter gasifier of COREX process. The burden trajectory, the location and the burden surface profile are analyzed in the top charging of melter gasifier. The distribution of ore and coke and the porosity in the radial direction are given under the different charging mode. The results can be used to optimize the charging patterns in order to obtain the reasonable gas distribution.


2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.


2001 ◽  
Vol 7 (S2) ◽  
pp. 578-579
Author(s):  
David W. Knowles ◽  
Sophie A. Lelièvre ◽  
Carlos Ortiz de Solόrzano ◽  
Stephen J. Lockett ◽  
Mina J. Bissell ◽  
...  

The extracellular matrix (ECM) plays a critical role in directing cell behaviour and morphogenesis by regulating gene expression and nuclear organization. Using non-malignant (S1) human mammary epithelial cells (HMECs), it was previously shown that ECM-induced morphogenesis is accompanied by the redistribution of nuclear mitotic apparatus (NuMA) protein from a diffuse pattern in proliferating cells, to a multi-focal pattern as HMECs growth arrested and completed morphogenesis . A process taking 10 to 14 days.To further investigate the link between NuMA distribution and the growth stage of HMECs, we have investigated the distribution of NuMA in non-malignant S1 cells and their malignant, T4, counter-part using a novel model-based image analysis technique. This technique, based on a multi-scale Gaussian blur analysis (Figure 1), quantifies the size of punctate features in an image. Cells were cultured in the presence and absence of a reconstituted basement membrane (rBM) and imaged in 3D using confocal microscopy, for fluorescently labeled monoclonal antibodies to NuMA (fαNuMA) and fluorescently labeled total DNA.


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