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.

Additional Information

School of Computer and Information Science, Syracuse University, SU-CIS-91-20

Source

local

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