Modeling and control of an aeration tank using artificial neural network [electronic resource] /

Thesis (Sarjana Kejuruteraan (Elektrik - Mekatronik dan Kawalan Automatik)) - Universiti Teknologi Malaysia, 2010

Bibliographic Details
Main Author: Mohammad Taghi Zareifard, 1984-
Format:
Language:eng
Published: 2010
Subjects:
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author Mohammad Taghi Zareifard, 1984-
author_facet Mohammad Taghi Zareifard, 1984-
author_sort Mohammad Taghi Zareifard, 1984-
collection OCEAN
description Thesis (Sarjana Kejuruteraan (Elektrik - Mekatronik dan Kawalan Automatik)) - Universiti Teknologi Malaysia, 2010
first_indexed 2024-03-05T11:18:33Z
format
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institution Universiti Teknologi Malaysia - OCEAN
language eng
last_indexed 2024-03-05T11:18:33Z
publishDate 2010
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spelling KOHA-OAI-TEST:4562362020-12-19T17:16:39ZModeling and control of an aeration tank using artificial neural network [electronic resource] / Mohammad Taghi Zareifard, 1984- 2010engThesis (Sarjana Kejuruteraan (Elektrik - Mekatronik dan Kawalan Automatik)) - Universiti Teknologi Malaysia, 2010Includes bibliographical referencesPSZJBLAutomatic control
spellingShingle Automatic control
Mohammad Taghi Zareifard, 1984-
Modeling and control of an aeration tank using artificial neural network [electronic resource] /
title Modeling and control of an aeration tank using artificial neural network [electronic resource] /
title_full Modeling and control of an aeration tank using artificial neural network [electronic resource] /
title_fullStr Modeling and control of an aeration tank using artificial neural network [electronic resource] /
title_full_unstemmed Modeling and control of an aeration tank using artificial neural network [electronic resource] /
title_short Modeling and control of an aeration tank using artificial neural network [electronic resource] /
title_sort modeling and control of an aeration tank using artificial neural network electronic resource
topic Automatic control
work_keys_str_mv AT mohammadtaghizareifard1984 modelingandcontrolofanaerationtankusingartificialneuralnetworkelectronicresource