DocumentCode :
2730569
Title :
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
Link To Document :
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