人工神经网络方法在Osprey过程中的应用
Application of Artificial Neural Networks in Osprey Process
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摘要: 以BP反传理论为基础,建立了对Osprey过程的前向多层神经网络,并对其进行测试.利用这一方法研究了Osprey过程中部分参数对孔隙度的影响.结果证明该网络较好地实现了学习和预测.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.