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。
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.
出处
《有色金属》
CSCD
1994年第1期29-33,共5页
Nonferrous Metals
关键词
水力旋流器
性能预测
神经网络
hydrocyclone
performance prediction
artificial neural networks
