The System Identification for the Hydrostatic Drive System of Secondary Regulation Using Neural Networks Tongji Univ

Format:

Conference/Event

Author/Creator:

Wu, Guangqiang, author.

Conference Name:

1996 SAE International Truck and Bus Meeting and Exposition (1996-10-14 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 1996

Summary:

In this paper, the system identification theory and method using dynamic neural networks are presented, the multilayer feedforward networks employed, the backpropagation with adaptive learning rate algorithms proposed. Finally the comparision of network output with that of the hydrostatic drive system of secondary regulation is given, and output error, sum-squared error et al, or the results that embody the effect of system identification given sine input to it are provided

Notes:

Vendor supplied data

Publisher Number:

962231

Access Restriction:

Restricted for use by site license