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人工神經網絡方法在Osprey過程中的應用

Application of Artificial Neural Networks in Osprey Process

  • 摘要: 以BP反傳理論為基礎,建立了對Osprey過程的前向多層神經網絡,并對其進行測試.利用這一方法研究了Osprey過程中部分參數對孔隙度的影響.結果證明該網絡較好地實現了學習和預測.

     

    Abstract: Artificial neural networks for the Osprey process based on back-propagation are established and some tests are conducted. The relationship between the processing parameters and the outputs are simulated with the networks. It is shown that neural networks are successfully used to pridict porosity values of the process.

     

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