automatic selection
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2022 ◽  
Author(s):  
T. Sudalai Muthu ◽  
Sachin Kamal ◽  
S. Visalaxi

Author(s):  
Ф.Г. Ахматшин

Исследуется проблема влияния полуавтоматического подбора свободного параметра в задаче автоматической группировки промышленной продукции по однородным производственным партиям полупроводниковых приборов, основанной на модели FOREL-2 для задач p-медиан и k-средних. The author considers the problem impact of semi-automatic selection free parameter in the problem of automatic grouping of industrial products by homogeneous production batches based on the FOREL-2 model. We provide a comparative automatic grouping quality assessment results with models of FOREL-2, p-median and k-means.


2021 ◽  
Author(s):  
Denis Valle ◽  
Yusuf Jameel ◽  
Brenda Betancourt ◽  
Ermias T. Azeria ◽  
Nina Attias ◽  
...  

2021 ◽  
Vol 2142 (1) ◽  
pp. 012013
Author(s):  
A S Nazdryukhin ◽  
A M Fedrak ◽  
N A Radeev

Abstract This work presents the results of using self-normalizing neural networks with automatic selection of hyperparameters, TabNet and NODE to solve the problem of tabular data classification. The method of automatic selection of hyperparameters was realised. Testing was carried out with the open source framework OpenML AutoML Benchmark. As part of the work, a comparative analysis was carried out with seven classification methods, experiments were carried out for 39 datasets with 5 methods. NODE shows the best results among the following methods and overperformed standard methods for four datasets.


2021 ◽  
Author(s):  
Aleksandra Petrova ◽  
Javier Larrosa ◽  
Emma Rollon

In this paper we analyze the effect of selecting the root in a tree decomposition when using decomposition-based backtracking algorithms. We focus on optimization tasks for Graphical Models using the BTD algorithm. We show that the choice of the root typically has a dramatic effect in the solving performance. Then we investigate different simple measures to predict near optimal roots. Our study shows that correlations are often low, so the automatic selection of a near optimal root will require more sophisticated techniques.


Actuators ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 195
Author(s):  
Pavol Božek ◽  
Yury Nikitin

An optimally-tuned PID control for a transport robot actuator based on an induction motor was developed. Continuous-discrete and continuous mathematical models of the actuator were obtained. The parametric synthesis of PID controller on the basis of continuous and discrete actuator models were performed. Numerical simulations using SimInTech for the adaptive regulator taking into account the cargo weight (from empty to maximum loaded) were carried out. The scheme of automatic selection of actuator PID coefficients considering the cargo weight was proposed. The scheme of automatic selection of coefficients of PID regulator for an actuator with regard to the cargo weight was suggested. As a result of parametric synthesis of discrete PID control law optimum values of its amplification coefficients were determined. There was no overcontrol and the transient time, which satisfied the initial requirements for the optimization of the control algorithm by angular velocity.


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