经大量的性能试验，结合BP神经网络的拟合、优化功能，最终研制出具有很好的极压性、清洗性、防锈性和安全性的拉延油。
By lots of experiments, along with the BP neural network's fitting and optimizing function, an excellent drawing oil with good load carrying capacity, cleanout and secure performance was developed.
将模型试验与优化理论结合，使采煤滚筒的分析、设计更为有效。
The combination of the techniques of optimization with the model experiment makes the designing and theoretical systems of the shearer drum more perfect.
优化设计采用试验设计与全局优化算法相结合以提高设计的稳健性，加速收敛。
Design of experiment and global optimization algorithm are integrated in the system to enhance optimization robustness and accelerate convergence.
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