Study of the Processes of Near Identical, Nanoprene, Neuro Progenitor Electric Drive
The article deals with the artificial multilayer neural network with direct signal transmission and reverse error propagation, which operates in the mode of identification of static and dynamic characteristics of the electric drive. To study processes of nearly identical, nanoprene of neuroprogenito...
Main Author: | Buyankin Viktor M. |
---|---|
Format: | Article |
Language: | English |
Published: |
Sciendo
2019-02-01
|
Series: | Latvian Journal of Physics and Technical Sciences |
Subjects: | |
Online Access: | https://doi.org/10.2478/lpts-2019-0003 |
Similar Items
-
Testing the Smooth Driving of a Train Using a Neural Network
by: Emilia Koper, et al.
Published: (2020-06-01) -
Driving Style Classification Based on Driving Operational Pictures
by: Guofa Li, et al.
Published: (2019-01-01) -
Intelligent method of electric drive diagnostic with due account for its operation mode
by: Bulgakov Grigoryevich Alexey, et al.
Published: (2017-01-01) -
DRIVING STYLE ANALYSIS AND DRIVER CLASSIFICATION USING OBD DATA OF A HYBRID ELECTRIC VEHICLE
by: Andrzej PUCHALSKI, et al.
Published: (2020-12-01) -
Hybrid Representation of Sensor Data for the Classification of Driving Behaviour
by: Michalis Savelonas, et al.
Published: (2021-09-01)