基于此，本文提出了基于集成神经网络的城市道路交通流量的融合预测模型。

Accordingly, this paper proposes a fusion-prediction model of traffic-flow in urban road-intersection based on integrated ANN (Artificial Neural Network).

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结果表明，融合预测模型的精度最高，神经网络模型次之，而回归模型精度最低。

The results showed that the prediction precision of the fusion model is the highest, ANN model in the second place, and the regression model in the end.

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同时，根据Informa公司的预测：到2011年认购固定-移动的融合业务的人数仅进展到总消费人数的10 - 15%，但是，这项业务的收入将占到总收入的20 - 27%。

Informa forecasts that by 2011 business users will account for a mere 10-15% of FMC subscriptions but as much as 20-27% of FMC revenues.

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