针对拉萨市道路交通噪声污染问题，运用人工神经网络理论和方法对拉萨市道路交通噪声的等效连续声级进行预测。

Aiming at the traffic noise problem of Lhasa, the author USES artificial neural network theory and method to predict the equivalent consecutive sound level of traffic noise in Lhasa.

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根据《机场周围飞机噪声环境标准(GB9660 - 88)》，以计权等效连续感觉噪声级LWECPN作为机场噪声评价量。

According to the standard of aircraft noise environment around Airport (GB9660-88), LWECPN (Weighted Equivalent Continuous Perceived noise Level) is selected as noise metrics.

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