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Artificial neural network and Process control

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Artificial neural network and Process control

Artificial neural network vs. Process control

Artificial neural networks (ANNs) or connectionist systems are computing systems vaguely inspired by the biological neural networks that constitute animal brains. Automatic process control in continuous production processes is a combination of control engineering and chemical engineering disciplines that uses industrial control systems to achieve a production level of consistency, economy and safety which could not be achieved purely by human manual control.

Similarities between Artificial neural network and Process control

Artificial neural network and Process control have 2 things in common (in Unionpedia): Control engineering, Control theory.

Control engineering

Control engineering or control systems engineering is an engineering discipline that applies automatic control theory to design systems with desired behaviors in control environments.

Artificial neural network and Control engineering · Control engineering and Process control · See more »

Control theory

Control theory in control systems engineering deals with the control of continuously operating dynamical systems in engineered processes and machines.

Artificial neural network and Control theory · Control theory and Process control · See more »

The list above answers the following questions

Artificial neural network and Process control Comparison

Artificial neural network has 329 relations, while Process control has 54. As they have in common 2, the Jaccard index is 0.52% = 2 / (329 + 54).

References

This article shows the relationship between Artificial neural network and Process control. To access each article from which the information was extracted, please visit:

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