【摘要】 提出了基于神经元网络技术的软测量方法，建立复杂工业过程（闪速炉）模型．针对生产工艺的要求，分别建立了生产工艺指标模型和产品产量模型，开辟了复杂工业过程产品质量建模的新领域．在建模基础上，对闪速炉进行了稳态优化控制研究，结果表明该方法具有较好的节能效果．最后给出了将来在线优化控制的建议更多还原

【Abstract】 The paper proposes an approach that uses soft\|sensing method to set up the neural network models of the complex industrial process\_\_nickel flash smelting furnace.They are technological index quality models and yield model for the furnace.This opens up a new application field of neural network modeling.The paper also gives a study of steady\|state optimizing control for the furnace.The results show that the modeling and optimization provide better effect in saving energy consumption.Finally,the paper suggests how to implement on\|line steady\|state optimizing control to the furnace in the future.更多还原