The Estimations of Mechanical Property of Rolled Steel Bar by Using Quantum Neural Network
نویسندگان
چکیده
In this paper, the estimations of mechanical property of rolled steel bar by using quantum neural network (QNN) were proposed. Based on the learning capability of neural network, the nonlinear, complex relationships among the steel bar, the billet materials and the control parameters of production could be automatically developed. Such an artificial intelligent (AI) estimator then can help the operation technician to set the related control parameters of rolling process. Not only the quality of steel bars could be improved, but also the cost of bar’s production could be greatly reduced.
منابع مشابه
Using Artificial Neural Networks to Predict Rolling Force and Real Exit Thickness of Steel Strips
There is a complicated relation between cold flat rolling parameters such as effective input parameters of cold rolling, output cold rolling force and exit thickness of strips. In many mathematical models, the effect of some cold rolling parameters has been ignored and the outputs have not a desirable accuracy. In the other hand, there is a special relation among input thickness of strips, the ...
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There is a complicated relation between cold flat rolling parameters such as effective input parameters of cold rolling, output cold rolling force and exit thickness of strips. In many mathematical models, the effect of some cold rolling parameters has been ignored and the outputs have not a desirable accuracy. In the other hand, there is a special relation among input thickness of strips, the ...
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* Corresponding author. Tel.: +886 928722593; fax E-mail addresses: [email protected] (R.-C. (Y.-J. Chen), [email protected] (H.-C. Huang). In this paper, an artificial intelligent (AI) analyzer for mechanical properties of rolled steel bar by using neural networks was proposed. Based on the learning capability of neural network, the nonlinear and complex relationships among the steel bar...
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