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- daily water consumption prediction 日用水量预测
- GREY MODEL IN WATER CONSUMPTION PREDICTION OF SHANXI PROVINCE 用灰色系统理论预测山西用水量
- Application of the adaptive fuzzy neural network to industrial water consumption prediction 自适应模糊神经网络在工业用水量预测中的应用
- Water consumption prediction 用水量预测
- Water consumption decreasedduring the winter. 冬天耗水量下降了。
- Water consumption decreased during the summer. 夏天,水的消耗量减少了。
- We should cut down the water consumption. 我们应该减少水的用量。
- Water consumption decreased during the winter. 冬季期间水消耗量减少。
- Emulsibility (1) the water consumption of ink. 1．油不朱的乳化补偿火度。
- Applied a novel machine learning algorithm-least squares support vector machines (LSSVM) into coal washery daily water consumption times series prediction. 摘要针对选煤厂日用水量时间序列的预测问题，提出应用最小二乘支持向量机(LSSVM)这一新的机器学习方法来实现日用水量的短期预测。
- In the reconstructed phase space, the equal-dimension and new information prediction model of coal washery daily water consumption time series was established based on LSSVM. 用微熵率法求得选煤厂日用水量时间序列的最佳嵌入维数和最佳延迟参数，重构相空间，建立了基于最小二乘支持向量机的选煤厂日用水量时间序列等维信息一步预侧模型。
- Perhaps the total amount of water consumption will increase. 水流量少了并不等于说总用水量少了。
- In some countries, it even outstrips water consumption! 在一些国家，葡萄酒甚至比饮用水更畅销！
- PCB industry is heavy water consumption and heavy pollution industry. PCB工业是用水大户,也是污染环境大户。
- The structure of water consumption should be rationalized with more water available for ecological purpose. 用水结构趋于合理，生态用水逐步增加。
- All units shall adopt advanced technology in water conservation, reduce water consumption and raise the ratio of water reuse. 各单位应当采用节约用水的先进技术，降低水的消耗量，提高水的重复利用率。
- These results are helpful for understanding of water consumption in oases of arid region and implementation of water resources deployment. 深化了绿洲耗水的认识并为绿洲水资源配置提供依据。
- Based on related manuals and regulations and by means of Visual Basic and Compaq Visual Fortran develops the simulation and energy consumption prediction software for underground spaces. 根据地下建筑供暖空调负荷设计计算的相关文献和规范,以Visual Basic6·0和Compaq Visual Fortran等为工具,研究开发了地下建筑供暖空调负荷模拟和能耗预测软件。
- The daily per capita household water consumption is 216 litres, 3 litres less than the previous year. 人均日生活用水量216升，比上年减少3升。
- Energy consumption prediction is made by the use of radial basis function(RBF) neural network method,and energy consumption prediction model based on RBF neural network is established. 采用径向基函数(RBF)神经网络方法进行能源消费量预测,建立了基于RBF神经网络的能源消费量预测模型。
- 今日热词
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- 深远海浮式风电平台 - deep-sea floating wind power platform
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- 京雄高速公路 - Beijing-Xiongan expressway
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- 农业及相关产业增加值 - the added value of agriculture and related industries
