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神經(jīng)網(wǎng)絡(luò)識(shí)別模型和循環(huán)流化床中的混沌時(shí)間序列的rbf神經(jīng)網(wǎng)絡(luò)預(yù)測(cè)模型,為流型在線識(shí)別和循環(huán)流化床系統(tǒng)的控制和預(yù)測(cè)等提供了新的方法。