【摘要】 采用BP神经网络算法研究了氟化物体系稀土电解槽设计时的重要参数如极距、电流密度、槽电压等对电能效率的影响,通过对多个槽体的现场取样数据模拟测试分析,研究了一种基于BP神经网络算法的稀土电解槽槽压模型,研究表明,该模型能够较为准确地预测极距、电流密度与槽电压关系,可用于新型稀土电解槽的优化设计。更多还原

【Abstract】 By BP neural network technology,designed parameters related to rare earth(RE) electrolytic cell for fluoride system,such as electrode gap,current density and cell voltage and so on,which would influence energy efficiency,were studied.The field-sampling data taken from several cells were simulated and analyzed to build a model for RE electrolytic cell voltage.Relationships between these parameters was predicted fairly accurately by the model which could be applicable to design a novel RE electrolysis cell.更多还原