Technical perspective: Expressive probabilistic models and scalable method of moments

David M. Blei

doi:10.1145/3186260

DISCRETE NONLINEAR-PROBABILISTIC MODEL OF THE EQUIVALENT ELECTRICAL RESISTANCE OF A LAYER OF METAL GRANULES

Tekhnichna Elektrodynamika ◽

10.15407/techned2021.02.003 ◽

2021 ◽

Vol 2021 (2) ◽

pp. 3-12

Author(s):

N.A. Shidlovska ◽

◽

S.M. Zakharchenko ◽

Keyword(s):

Method Of Moments ◽

Discharge Current ◽

Probabilistic Model ◽

Electrical Resistance ◽

Probabilistic Models ◽

Tap Water ◽

Plasma Erosion ◽

Spark Erosion ◽

Trailing Edges ◽

Normal Law

Two strategies for constructing nonlinear-probabilistic models of the equivalent electrical resistance of a layer of metal granules at their spark-erosion and plasma-erosion treatment and algorithms for their implementation are presented. A method for taking into account the parametric properties of such loads in their nonlinear and nonlinear-probabilistic models is described. Based on the data of direct experiments, the distributions of the electrical resistance of a layer of aluminum granules in tap water were obtained for eleven fixed values of the discharge current in it for both the leading and trailing edges of its pulses. The features of these distributions are described for different edges of the discharge current pulses. It has been proved that the obtained distributions can be adequately described by the normal law. The parameters of the normal law for each distribution obtained as a result of direct experiments are founded by the method of moments. A nonlinear-probabilistic model of the equivalent electrical resistance of a layer of aluminum granules in tap water is created, taking into account the main hysteresis of the dependence of resistance on current. It is shown that at large values of discharge currents, the nonlinear-probabilistic model of the equivalent electrical resistance of the layers of metal granules tends to degenerate into a nonlinear model. References 27, figures 4

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Advances in rib waveguide analysis using the weighted index method or the method of moments

IEE Proceedings J Optoelectronics ◽

10.1049/ip-j.1990.0006 ◽

1990 ◽

Vol 137 (1) ◽

pp. 27 ◽

Cited By ~ 2

Author(s):

P.C. Kendall ◽

M.J. Robertson ◽

P.W.A. McIlroy ◽

S. Ritchie ◽

M.J. Adams

Keyword(s):

Method Of Moments ◽

Index Method ◽

Rib Waveguide ◽

Weighted Index

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Management of Economics and State "Bottom"

Issues of Risk Analysis ◽

10.32686/1812-5220-2020-17-6-76-91 ◽

2020 ◽

Vol 17 (6) ◽

pp. 76-91

Author(s):

E. D. Solozhentsev

Keyword(s):

Quality Of Life ◽

Artificial Intelligence ◽

Probabilistic Models ◽

Human Life ◽

Special Software ◽

Human Quality ◽

Relationship Of ◽

The Relationship

The scientific problem of economics “Managing the quality of human life” is formulated on the basis of artificial intelligence, algebra of logic and logical-probabilistic calculus. Managing the quality of human life is represented by managing the processes of his treatment, training and decision making. Events in these processes and the corresponding logical variables relate to the behavior of a person, other persons and infrastructure. The processes of the quality of human life are modeled, analyzed and managed with the participation of the person himself. Scenarios and structural, logical and probabilistic models of managing the quality of human life are given. Special software for quality management is described. The relationship of human quality of life and the digital economy is examined. We consider the role of public opinion in the management of the “bottom” based on the synthesis of many studies on the management of the economics and the state. The bottom management is also feedback from the top management.

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