GA-BP neural network model is applied in matching and predicting the production of the gas Wells with 5.1% of the average relative error. It proves th...
利用GA - BP神经网络模型对气井产量进行了拟合和预测,拟合的平均相对误差为5.1%,表明新模型适用于洛带气田的产量递减预测。
This second piece of data is useful for predicting future hardware needs as the system is scaled in production.
第二项数据可用于预测当系统在生产中扩展时未来的硬件要求。
Predicting the end of oil has proven tricky and often controversial, but Kuwaiti scientists now say that global oil production will peak in2014.
预测石油何时会枯竭往往困难又充满争议,但是现在科威特科学家指出,全球石油产量将在2014年达到顶峰。
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