The 3 tables in QB1 are joined with nested loop join (NLJ).
QB 1中三个表用嵌套循环(NLJ)连接。
Using NLJ search procedure to optimize the control loops of FCCU plant by selecting PID parameters based on IMC control principle and step response data.
应用NL J随机搜索算法，对催化裂化控制回路进行基于阶跃响应的PID参数优化和IMC - PID参数优化。
Mainly it discusses two problems: software instruments of viscosity and flash point using neural networks and operation optimization on the atmospheric and vacuum towers using NLJ method.
主要探讨了两个方面的问题：采用神经网络建立各个侧线粘度和闪点的软测量仪表以及采用NLJ方法实现常减压塔的操作优化。
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