Selecting the most appropriate artificial lift technology is essential to well profitability, with each method having distinct advantages and disadvantages for capex and opex.
选择最合适的人工举升技术是实现盈利的关键，对于资本支出和运营成本，每一种方法都有明显的优势和缺点。
This paper proposes a procedure for artificial neural network (ANN) in spot welding, and establishes spot welding parameter selecting ANN systems and spot welding joint quality predicting ANN systems.
将人工神经网络技术(ANN)引入点焊领域，建立了点焊工艺参数选择ann系统和点焊接头质量预测ann系统。
Selecting laser shocking parameters with the application of artificial neural networks theory, the high power density, neodymium -glass laser is used to laser shock process ductile iron QT450 - 10.
应用人工神经网络理论，合理选择激光冲击参数，对球墨铸铁QT450-10进行了激光冲击试验，并用扫描电镜和数显硬度仪等进行了分析。
应用推荐