最后讨论这一领域的发展趋势，指出多参数预测和组合预测在机械故障预报中的重要意义。
Moreover, the trend of machinery fault prediction is discussed. For precise and reliable machinery fault detection, it is essential to use multivariable forecasting modest...
针对预测多种尺度颗粒随机分布复合材料等效热传导参数的难点，提出了一种多尺度有限元方法。
A finite element (fe) method for the prediction of the equivalent heat transfer parameters of the composite material with random multi-scale grains was presented.
同时建立并开发了一套基于BP神经网络的多参数地质目标预测系统。
At the same time, a multi-parameter geological objective prediction system based on BP neural network was developed.
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