The use of neural network algorithms for modeling injection doses of modern fuel injectors
Keyword(s):
The article presents the possibilities of using artificial intelligence methods to model the injection doses of a modern Common Rail (CR) fuel injector. The presented neural network solution belongs to the experimental models known as black boxes in mechatronics. The backpropagation algorithm and its Levenberg-Marquardt expansion were used for the simulation. The analysis showed that there is a good match between the measurements and the computational model. The proposed solution can be used in the processes of diagnosing not only elements of the injection equipment, but also the internal combustion engine. The paper presents the construction and operation of fuel injectors and the important role of precision pairs work.
Performance Analysis of Sequential and Parallel Neural Network Algorithm for Stock Price Forecasting
2011 ◽
Vol 3
(1)
◽
pp. 45-68
◽
2001 ◽
Vol 11
(05)
◽
pp. 477-487
◽
2012 ◽
Vol 113
(12)
◽
pp. 1429-1436
◽
Keyword(s):
2020 ◽
pp. 63-67
◽
Keyword(s):
Keyword(s):