scholarly journals NEURAL NETWORK INFORMATION-MEASURING SYSTEM IN TASKS OF RESOURCE PREDICTION

2021 ◽  
Author(s):  
Marina Dubyago ◽  
Nikolay Poluyanovich
Keyword(s):  
Forecast Error ◽  
Measuring System ◽  
Power Cable ◽  
Thermal Processes ◽  
Network Information ◽  
Cable Networks ◽  
Information Measuring System ◽  
Networks Analysis ◽  
Hidden Layer ◽  
Resource Prediction

It was established that methods based on artificial neural networks (HC) find the most widespread in predicting thermal processes in power cable networks. Analysis of influence of various functions of HC activation on forecast error of thermoflux processes in power cable networks was carried out. It is established that the minimum error of thermal processes prediction in power cable networks is HC with function of logsig activation in hidden layer and pureline in output layer.

MAGNETOREOLOGICAL JOURNAL BEARING: EXPERIMENTAL RESULTS

2020 ◽  
Vol 3 ◽  
pp. 83-90
Author(s):  
A.S. FETISOV ◽  
V.O. TYURIN
Keyword(s):  
Experimental Study ◽  
Journal Bearing ◽  
Experimental Results ◽  
Measuring System ◽  
Information Measuring ◽  
Experimental Stand ◽  
Information Measuring System

The article presents the classification of magnetorheological devices. The classification of bearings of rotor machines is given. An experimental stand is described that includes a magnetorheological journal bearing. The information–measuring system of the experimental stand is presented. The results of experimental study is presented.

Sign in / Sign up

Export Citation Format

Share Document