结果证明广义回归神经网络用于交通运输量预测的有效性。
The result demonstrates the effectiveness of using GRNN to forecast transport volume.
美国国内未加工钢铁产量较去年下降47%；五月铁路交通运输量几乎比一年前水平下降四分之一。
American raw domestic steel production is down 47% year on year; railway traffic in May was almost a quarter below its level of a year earlier.
程序界面简单，操作方便快捷，为交通运输量预测提供了一个有效的工具，并且能满足实际工程的需要。
With simple desks and easy operation, this software provides traffic volume forecast with a useful tool and meets the needs in reality.
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