Modeling of Continuous Stirred Tank Reactor based on Artificial Neural Network
This paper presents the dynamic model identification algorithm of the continuous stirred tank reactor (CSTR) using a multi-layer perceptron (MLP) neural network topology. The neural network approach for (CSTR) dynamic modeling is trained by using a particle swarm optimization (PSO) technique as a s...
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| Format: | Article |
| Language: | English |
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Al-Nahrain Journal for Engineering Sciences
2017-05-01
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| Series: | مجلة النهرين للعلوم الهندسية |
| Subjects: | |
| Online Access: | https://nahje.com/index.php/main/article/view/178 |