Estimating Of Etchant Copper Concentration in The Electrolytic Cell using Artificial Neural Networks
In this paper, Artificial Neural Networks (ANN), which are known for their ability to model nonlinear systems, provide accurate approximations of system behavior and are typically much more computationally efficient than phenomenological models are used to predict the etchant copper concentration in...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tikrit University
2010-06-01
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| Series: | Tikrit Journal of Engineering Sciences |
| Subjects: | |
| Online Access: | https://tj-es.com/ojs/index.php/tjes/article/view/546 |