汽车保有量

基于遗传BP算法的我国汽车保有量预测

Forecasting of Vehicle Population in China Based on Hereditary BP Algorithm

基于BP人工神经网络的湖南省汽车保有量预测

A Forecast of the Automobile-owned of Hunan Province Based on BP neural network

将神经网络技术用于汽车保有量预测，建立基于双BP神经网络的多相关因素汽车保有量预测模型。

In the paper , the technique of neural network is applied in forecasting affected by multi-relative factors , and a two ?

随着我国燃气汽车保有量的增加，开发与之相配套的天然气（NG）加热器就成为了必然。

With the number of Nature Gas Vehicle increasing in our country , it is necessary to develop clean fuel heater for matching .

在国家能源环保政策引导下，近几年全国CNG汽车保有量和CNG加气站持续增加。

According to national energy and environment protection policy , in the past years , CNG vehicle retention and CNG filling station have been gradually increasing in China .

欧佩克（Opec）六年来首次上调其对全球长期石油需求的预测，此前该组织重新评估了中国汽车保有量的前景。

Opec has increased its forecast for long-term global oil demand for the first time in six years , after reassessing the prospects for car ownership in China .

该模型综合考虑了GDP数据、历史汽车保有量、汽车产量、客运量、人均粗钢、人均发电、人口与公路里程对汽车保有量的影响。

The model takes into account the impact of the GDP , history automobile ownership , automobile production , passenger volume , crude steel per capita , power generation per capita , population and road mileage on car ownership .

汽车保有量的快速增长对NO2浓度变化影响很大，同时对PM10浓度的变化也有一定影响。

Thirdly , the rapid increase of automobiles ' conservative quantity has great effect to NO_2 concentration , the variation of PM_ ~ 10 concentration is affected as well .

中国地方政府可能反对外国公司控制如此关键的基础设施，即便Uber承诺帮助中国污染严重且交通拥堵的城市解决私人汽车保有量增加所带来的一些问题。

Local governments in China may resist foreign control of something so essential , even if Uber promises to help solve some of the problems caused by swelling personal car ownership for China 's polluted and traffic-clogged cities .

同时，全球汽车保有量也迅速上升。

Meanwhile , the global car ownership is also rising rapidly .

基于熵值法的城市汽车保有量组合预测

Combination Forecasting of Vehicle Population Based on the Entropy Method

城市汽车保有量预测及道路交通经济效果分析

Forecast of Urban Car Ownership and Economic Effect Analysis of Road Traffic

基于多相关因素的汽车保有量预测神经网络方法

Multi-relative Factor Forecast of Vehicle Population by Neural Network

我国汽车保有量预测方法浅析

Analysis of Prediction Methods on National Vehicles Possessing Capacity

基于计量经济学模型的汽车保有量预测

Forecast of Vehicle Population Based on Model of Econometrics

2000年中国汽车保有量预测研究

A Prediction of China 's Automobile Guarantee-Quantity until 2000

社会汽车保有量告诉增长。

Tell the growth of social car ownership .

重庆市汽车保有量和维修需求量预测

The Prediction of the Present Quantity of Vehicles and the Needs of Maintenance in Chongqing

汽车保有量的迅速增加为我国汽车后市场带来巨大的商机。

And the soaring auto population in China brings enormous business opportunities for after-sales market .

随着我国经济的持续发展，汽车保有量大幅提高。

With the increased economic growth , Motor vehicle population is increasing rapidly in China .

社会上汽车保有量越来越多，人们对汽车的安全防盗问题越来越关注。

More and more attentions are paid to the safety anti theft problems of auto nowadays .

我国未来汽车保有量情景预测研究

Forecast of Automobile Population in China

大中城市汽车保有量的激增与城市道路建设的滞后所带来的交通拥堵问题愈演愈烈，增加道路和限制车辆不是最经济有效的办法。

The increase of road construction and the vehicle amount made the traffic jam become serious .

我们甚至在汽车保有量迅速增长的中国率先开放了任意形式的快速通道。

We even opened the first drive-thru of kind in China where car ownership is growing rapidly .

汽车保有量的增加将会导致石油资源过度消耗，加剧环境污染。

Increase in car ownership will lead to excessive consumption of oil resources , increasing environmental pollution .

随着汽车保有量的增加，发动机维修量也激增。

Along with the increase of the automobile inventory , also the engine service quantity increases sharply .

然而随着汽车保有量的增加，社会成本也日益增大。

However , with the increase of the vehicle ownership , the social cost is also increasing .

汽车保有量不断攀升导致了大量的能源消耗，造成了严重的环境污染。

The increasing quantity of vehicles results in a large of energy consumption and serious environment pollution .

随着社会发展，汽车保有量也在呈现逐年增加的趋势。

With the social development , car ownership is also showing an increasing trend year by year .

随着汽车保有量的提升，汽车交通安全越来越成为人们关注的热点。

With the upgrading of car ownership , automobile traffic safety has increasingly become the focus of attention .