The financial crisis in 2008 dragged the U.S. economy into the dilemma of imbalanced and sluggish growth. Thus, the federal government carried out the sustainable and balanced growth strategy. This paper draws the fra...The financial crisis in 2008 dragged the U.S. economy into the dilemma of imbalanced and sluggish growth. Thus, the federal government carried out the sustainable and balanced growth strategy. This paper draws the framework of U.S. new growth strategy and summarizes the main measures applied in last five years. Further, it assesses the comprehensive strategic effects on economy and finally discusses the future challenges for the U.S..展开更多
Amid the current financial crisis, China’s industries have demonstrated growing competitiveness and a capacity to resist risks. However, some deep-rooted problems have been dramatized in this shock. Having experienced
提出一种高精度的ZWD模型(tianjin_zwd,TZ)。TZ基于2016-2018年逐小时气压分层的ERA5,欧洲中尺度气象预报中心第五代再分析产品数据,采用BP神经网络建立。然后,根据2019年的ERA5产品导出的ZWD对TZ模型进行了验证。结果表明:相比GPT3模型...提出一种高精度的ZWD模型(tianjin_zwd,TZ)。TZ基于2016-2018年逐小时气压分层的ERA5,欧洲中尺度气象预报中心第五代再分析产品数据,采用BP神经网络建立。然后,根据2019年的ERA5产品导出的ZWD对TZ模型进行了验证。结果表明:相比GPT3模型,TZ模型可提供更贴近真值的ZWD估值;并且,其RMSE由5.0 cm (GPT3)降至4.5 cm,表明10%的精度提升。上述结果表明TZ模型实现了更优的预测性能,该模型的构建策略可为全国其他地区的ZWD建模提供借鉴。展开更多
文摘The financial crisis in 2008 dragged the U.S. economy into the dilemma of imbalanced and sluggish growth. Thus, the federal government carried out the sustainable and balanced growth strategy. This paper draws the framework of U.S. new growth strategy and summarizes the main measures applied in last five years. Further, it assesses the comprehensive strategic effects on economy and finally discusses the future challenges for the U.S..
文摘Amid the current financial crisis, China’s industries have demonstrated growing competitiveness and a capacity to resist risks. However, some deep-rooted problems have been dramatized in this shock. Having experienced
文摘提出一种高精度的ZWD模型(tianjin_zwd,TZ)。TZ基于2016-2018年逐小时气压分层的ERA5,欧洲中尺度气象预报中心第五代再分析产品数据,采用BP神经网络建立。然后,根据2019年的ERA5产品导出的ZWD对TZ模型进行了验证。结果表明:相比GPT3模型,TZ模型可提供更贴近真值的ZWD估值;并且,其RMSE由5.0 cm (GPT3)降至4.5 cm,表明10%的精度提升。上述结果表明TZ模型实现了更优的预测性能,该模型的构建策略可为全国其他地区的ZWD建模提供借鉴。