Developing Robust Neural Network Models by Using Both Dynamic and Static Process Operating Data-Reference-Cited by-同舟云学术

Developing Robust Neural Network Models by Using Both Dynamic and Static Process Operating Data

Published:2000-12-02 Issue:1 Volume:40 Page:234-241
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Zhang Jie¹

Affiliation:

1. Centre for Process Analytics and Control Technology, Department of Chemical and Process Engineering, University of Newcastle, Newcastle upon Tyne NE1 7RU, U.K.

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie000286g

Reference29 articles.

1. Approximation by superpositions of a sigmoidal function

2. Universal Approximation Using Radial-Basis-Function Networks

3. Forecasting and control using adaptive connectionist networks

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