论文信息 - Neural-network control in the metals industry

Neural-network control in the metals industry

Because of their capabilities for adaptation, nonlinear function approximation, and parallel hardware implementation neural networks have proven to be well suited for some important control applications. The paper briefly presents three examples of neural-network control applications on laboratory and industrial hardware. An overall problem-solving approach is presented as well as suggestions for neural-network research that will benefit industrial control optimization.

E. Wilson | E. Wilson

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