聚式流化 meaning in Chinese

aggregative fluidization

To effectively identify the particulate and aggregative fluidization of fluidized bed , bp neural network model has been developed . the results show that bp neural network model is more efficient than the traditional method
散式流化和聚式流化的判别仿真实验表明， bp神经网络流型识别模型能够准确快速地识别这两类模型，识别的准确率高于传统判别方法。
Finally , bp neural network recognition model of particulate and aggregative fluidization and rbf neural network prediction model for chaotic time series of circulating fluidized bed have been set up , which provides new methods for on - line recognition of fluidization state and control and prediction of circulating fluidized bed systems
最后建立了散式流化和聚式流化bp神经网络识别模型和循环流化床中的混沌时间序列的rbf神经网络预测模型，为流型在线识别和循环流化床系统的控制和预测等提供了新的方法。