建筑市场需求

建筑市场需求预测中的神经网络方法

The Neural Network in the Prediction of Construction Industry Demand

基于行为选择理论的建筑节能市场需求影响因素分析

Analysis of Demanding Factors about Building Energy-Efficiency Market based on Theory of Behavioral Choice

1999年，德国合众发现亚洲建筑涂料市场需求量特别大，特别是中国。

In1999 , The German Triangle Found That Asian Demand For Architectural Coatings Market , Particularly Large , Especially China .

产品用途涵盖轨道交通线路建设、车辆制造以及桥梁隧道、现代高层建筑等方面的市场需求。

Product usages cover market demands in rail transportation line construction , vehicle manufacture , bridge , tunnels and modern high-rise buildings etc.

在外部拉动力上分析了宏观经济的走势、特种建筑行业特性与市场需求、行业竞争状况，得到公司蓝海拉动力中存在的机会和威胁。

For the external driving force , I analyze macroeconomic trends , characteristics and market demand of special construction industry , industry competitive conditions , and get opportunities and threats that exist in Blue Ocean pulling powers .

而且这种引入受到了建筑业业内人士大力欢迎，良好地适应建筑市场的需求，设计人员不再用手工绘图了，同时也解决了手工绘制和修改易出现错误的弊端。

Introduced by the construction industry and this industry strongly welcome , good to meet the needs of the construction market , the designer is no longer a drawing by hand , but also solve the hand-drawn and error prone to modify the drawbacks .

随着建筑节能工作的层层深入，为满足社会对建筑节能的市场需求，新型建筑节能技术、节能产品随之呈现。

With the further development of building energy conservation , to meet the building energy efficiency of the social demand , followed by the emergence of various new construction energy-saving technologies , energy-saving products .