| 1. | Optimization model for forecasting district transportation volume
交通量预测的优化模型 |
| 2. | Traffic prediction based on genetic - neural network
神经网络的交通量预测 |
| 3. | Application of grey model gm in prediction of dam pressure
灰色代数曲线模型在交通量预测中的应用 |
| 4. | Application of support vector machines in traffic volume forecast
支持向量机在交通量预测中的应用 |
| 5. | Forecast of traffic volume based on genetic neural network optimization model
基于遗传神经网络优化模型的交通量预测 |
| 6. | The grey markov forecasting model and its application in price - earnings forecast
一种改进的灰色模型在交通量预测中的应用 |
| 7. | Shows the total high , medium and low cross - boundary road traffic forecasts combined with different capacity provisions
显示高、中及低水平的整体跨界道路交通量预测，及不同的通车量。 |
| 8. | But traditional " four stages " method still exists a great many limits in itself , especially in aspect of traffic forecast
但传统的“四阶段”法仍然存在很多自身的局限性，尤其在交通量预测方面。 |
| 9. | The research result will play an active role on the traffic volume forecast of the high - type highway and deciding one key highway project in hebei province and our country
研究成果对河北省乃至全国高等级公路的交通量预测及重大项目决策均将发挥积极的作用。 |
