Operating condition recognition based on temporal cumulative distribution function and AdaBoost-extreme learning machine in zinc flotation process

2021 ◽  
Author(s):  
Can Tian ◽  
Zhaohui Tang ◽  
Hu Zhang ◽  
Xiaoliang Gao ◽  
Yongfang Xie
Keyword(s):  
Distribution Function ◽  
Extreme Learning Machine ◽  
Cumulative Distribution Function ◽  
Cumulative Distribution ◽  
Flotation Process ◽  
Operating Condition ◽  
Learning Machine ◽  
Condition Recognition

scholarly journals Intelligent Setting Method of Reagent Dosage Based on Time Series Froth Image in Zinc Flotation Process

Processes ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 536 ◽  
Author(s):  
Zhaohui Tang ◽  
Liyong Tang ◽  
Guoyong Zhang ◽  
Yongfang Xie ◽  
Jinping Liu
Keyword(s):  
Time Series ◽  
Distribution Function ◽  
Kernel Function ◽  
Bubble Size ◽  
Cumulative Distribution Function ◽  
Cumulative Distribution ◽  
Dynamic Feature ◽  
Flotation Process ◽  
Feature Vectors ◽  
Froth Image

It is well known that the change of the reagent dosage during the flotation process will cause the froth image to change continuously with time. Therefore, an intelligent setting method based on the time series froth image in the zinc flotation process is proposed. Firstly, the sigmoid kernel function is used to estimate the cumulative distribution function of bubble size, and the cumulative distribution function shape is characterized by sigmoid kernel function parameters. Since the reagent will affect the froth image over a period of time, the time series of bubble size cumulative distribution function is processed by the ELMo model and the dynamic feature vectors are output. Finally, XGBoost is used to establish the nonlinear relationship modeling between reagent dosage and dynamic feature vectors. Industrial experiments have proved the effectiveness of the proposed method.

DISSONANCE — A MEASURE OF VARIABILITY FOR ORDINAL RANDOM VARIABLES

2001 ◽  
Vol 09 (01) ◽  
pp. 39-53 ◽  
Author(s):  
RONALD R. YAGER
Keyword(s):  
Distribution Function ◽  
Cumulative Distribution Function ◽  
Probability Distributions ◽  
Random Variables ◽  
Cumulative Distribution ◽  
General Properties

We look at the issue of obtaining a variance like measure associated with probability distributions over ordinal sets. We call these dissonance measures. We specify some general properties desired in these dissonance measures. The centrality of the cumulative distribution function in formulating the concept of dissonance is pointed out. We introduce some specific examples of measures of dissonance.

Estimating the cumulative distribution function for the linear combination of gamma random variables

2017 ◽  
Vol 20 (5) ◽  
pp. 939-951
Author(s):  
Amal Almarwani ◽  
Bashair Aljohani ◽  
Rasha Almutairi ◽  
Nada Albalawi ◽  
Alya O. Al Mutairi
Keyword(s):  
Distribution Function ◽  
Linear Combination ◽  
Cumulative Distribution Function ◽  
Random Variables ◽  
Cumulative Distribution
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