Development of robust neural network models for process estimation and control /

Thesis (Master of Engineering (Chemical)) - Universiti Teknologi Malaysia, 1999

Bibliographic Details
Main Author: 367706 Wong, Chiang Sheng
Format:
Published: Skudai : Universiti Teknologi Malaysia, 1999
Subjects:
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author 367706 Wong, Chiang Sheng
author_facet 367706 Wong, Chiang Sheng
author_sort 367706 Wong, Chiang Sheng
collection OCEAN
description Thesis (Master of Engineering (Chemical)) - Universiti Teknologi Malaysia, 1999
first_indexed 2024-03-04T16:20:28Z
format
id KOHA-OAI-TEST:77236
institution Universiti Teknologi Malaysia - OCEAN
last_indexed 2024-03-04T16:20:28Z
publishDate 1999
publisher Skudai : Universiti Teknologi Malaysia,
record_format dspace
spelling KOHA-OAI-TEST:772362020-12-19T17:00:22ZDevelopment of robust neural network models for process estimation and control / 367706 Wong, Chiang Sheng Skudai : Universiti Teknologi Malaysia,1999Thesis (Master of Engineering (Chemical)) - Universiti Teknologi Malaysia, 199950SPSLChemical process controlChemical process controlNeural networks (Computer science)
spellingShingle Chemical process control
Chemical process control
Neural networks (Computer science)
367706 Wong, Chiang Sheng
Development of robust neural network models for process estimation and control /
title Development of robust neural network models for process estimation and control /
title_full Development of robust neural network models for process estimation and control /
title_fullStr Development of robust neural network models for process estimation and control /
title_full_unstemmed Development of robust neural network models for process estimation and control /
title_short Development of robust neural network models for process estimation and control /
title_sort development of robust neural network models for process estimation and control
topic Chemical process control
Chemical process control
Neural networks (Computer science)
work_keys_str_mv AT 367706wongchiangsheng developmentofrobustneuralnetworkmodelsforprocessestimationandcontrol