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介绍了神经网络的基本原理及其BP算法,建立了BP模型,实现对水力旋流器工作参数的预测,预测结果跟生产现场实际结果拟合性较好,对实际生产有实用价值。并用Delphi编写人机交互界面来进行实时预测。
The basic principle of neural network and its BP algorithm are introduced. The BP model is established to predict the working parameters of the hydrocyclone. The predicted results are better than the actual results of the production site and have practical value for practical production. And use Delphi to write man-machine interface for real-time prediction.