Document Type
Report
Date
7-1991
Keywords
Recurrent networks
Language
English
Disciplines
Computer Sciences
Description/Abstract
This paper presents empirical results on the application of neural networks to system identification and inverse system identification. Recurrent and Feedforward network models are used to build an emulator of a simple nonlinear gantry crane system, and for the inverse dynamics of the system. Recurrent networks were observed to perform slightly better than feedforward networks for these problems.
Recommended Citation
Lee, Hyungkeun; Park, Y.; Mehrotra, Kishan; and Ranka, Sanjay, "Nonlinear System Identification Using Recurrent Networks" (1991). Electrical Engineering and Computer Science - Technical Reports. 112.
https://surface.syr.edu/eecs_techreports/112
Source
local
Additional Information
School of Computer and Information Science, Syracuse University, SU-CIS-91-20