Case studies of neural networks in engineering applications

Author

Zhou, Zhaoying ; Xiong, Shenshu

Author_Institution

Dept. of Precision Instrum. & Mechanology, Tsinghua Univ., Beijing, China

Volume

4

fYear

1996

fDate

14-17 Oct 1996

Firstpage

2822

Abstract

In this paper, three case studies of neural networks in engineering applications are presented. First a functional link artificial neural network is constructed for closed shape modelling to extract invariant features to recognise the pattern. The second case deals with a single layer network for the parameter estimation of a transfer function with the frequency response data available. The method is applied to velocity sensor modelling as an application. Finally, a thinning algorithm is realised by a neural network approach

Keywords

engineering computing; feature extraction; feedforward neural nets; image recognition; parameter estimation; time series; case studies; engineering applications; frequency response; functional link neural network; invariant feature extraction; parameter estimation; single neural networks; thinning algorithm; transfer function; velocity sensor modelling; Artificial neural networks; Computer aided software engineering; Computer networks; Feature extraction; Intelligent networks; Multilayer perceptrons; Neural networks; Shape; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1996., IEEE International Conference on

Conference_Location

Beijing

ISSN

1062-922X

Print_ISBN

0-7803-3280-6

Type

conf

DOI

10.1109/ICSMC.1996.561388

Filename

561388