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用神经网络综合预测水力旋流器性能
引用本文:王殿辉,褚良银.用神经网络综合预测水力旋流器性能[J].有色金属,1994(1).
作者姓名:王殿辉  褚良银
作者单位:东北大学
摘    要:将人工神经网络用作水力旋流器的性能预测模型,实现了对其性能的全面预测,并探讨了结构及工艺参数对其性能的综合影响,弥补了以往数学模型预测的某些不足,为水力旋流器性能的综合预测提出了一个有效而简单的新手段。

关 键 词:水力旋流器  性能预测  神经网络

COMPREHENSIVE PREDICTION OF HYDROCYCLONE PERFORMANCE USING ARTIFICIAL NEURAL NETWORKS
Wang Dianhui, Chu Liangyin.COMPREHENSIVE PREDICTION OF HYDROCYCLONE PERFORMANCE USING ARTIFICIAL NEURAL NETWORKS[J].Nonferrous Metals,1994(1).
Authors:Wang Dianhui  Chu Liangyin
Abstract:Using artificial neural networks as prediction model,the hydrocycloneperformance has been predicted comprehensively,with the overall effects ofstructural and technological parameters on the performance investigated,Theneural networks method has remedied some defects of mathematical modelbased prediction, thus providing a new effective means for predicting the hy-drocyclone performance,The results could effectively promote the applicationand automatic control of hydrocyclones.
Keywords:hydrocyclone  performance prediction  artificial neural networks
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