TY  - JOUR
AB  - This paper presents an investigation for analysing the load carrying capacity of journal bearing in a variety of conditions using a proposed neural network (NN). The NN structure is very suitable for this kind of system. The network is capable of predicting the pressures of the experimental system. The network has parallel structure and fast learning capacity. It can be outlined from the results for both approaches, NN could be used to model journal bearing systems in real time applications.
VL  - 56
IS  - 6
SN  - 0036-8792
DO  - 10.1108/00368790410558239
UR  - https://doi.org/10.1108/00368790410558239
AU  - Sinanoğlu Cem
PY  - 2004
Y1  - 2004/01/01
TI  - The analysis of the effects of surface roughness of shafts on journal bearings using recurrent hybrid neural network
T2  - Industrial Lubrication and Tribology
PB  - Emerald Group Publishing Limited
SP  - 324
EP  - 333
Y2  - 2024/09/20
ER  -