In order to realize the accurate prediction of the total output value of construction industry in the future,the grey prediction model is used to compare the measured value with the predicted value from 2012 to 2021,a...In order to realize the accurate prediction of the total output value of construction industry in the future,the grey prediction model is used to compare the measured value with the predicted value from 2012 to 2021,and based on the existing data,the total output value of construction industry in Jiangxi Province in the next five years is predicted.The results show that the grey prediction model has a good prediction effect,and the error between the predicted value and the measured value is within 14%,which provides a basis for policy adjustment and resource optimization.展开更多
Gross agricultural product is an important indication to measure the agricultural development level of a region. It would be affected by many factors,having the characteristics of non- linearity. For this reason,LM- B...Gross agricultural product is an important indication to measure the agricultural development level of a region. It would be affected by many factors,having the characteristics of non- linearity. For this reason,LM- BP neural network was put forward as the model and method for predicting gross agricultural product. Taking the indications of the sown area of crop,the output of grain,sugarcane,cassava,tea,meat,aquatic products,turpentine and camellia seed,etc. as inputs,during 2000 to 2012 in Guangxi,the gross agricultural product data from the analysis of simulation experiment show that the prediction of LM- BP neural network fits well with actual results.展开更多
By extending the traditional productivity theory,a new concept total productivity( TP) is introduced. Using a directional distance function approach,the concept is applied to measuring economic growth of 8 economic re...By extending the traditional productivity theory,a new concept total productivity( TP) is introduced. Using a directional distance function approach,the concept is applied to measuring economic growth of 8 economic regions of China covering an 18 years period( 1997—2014) and test its convergence. Results showed that TP grew at an average rate of 6. 6% per year led mainly by technical change( 6. 5%). When environmental undesirable outputs are included,the Middle Yellow River,Northwest and Southwest regions of China witnessed higher productivity changes. Results of the convergence analysis revealed that China had made progress in reducing regional imbalance in growth. Inclusion of undesirable output showed that the energy-saving emission reduction policies had speed up the convergence rate of TP and environment oriented productivity. However,China's welfare oriented productivity is still very low.展开更多
文摘In order to realize the accurate prediction of the total output value of construction industry in the future,the grey prediction model is used to compare the measured value with the predicted value from 2012 to 2021,and based on the existing data,the total output value of construction industry in Jiangxi Province in the next five years is predicted.The results show that the grey prediction model has a good prediction effect,and the error between the predicted value and the measured value is within 14%,which provides a basis for policy adjustment and resource optimization.
基金Supported by Science and Technology Research Project of Guangxi University(2013LX143)
文摘Gross agricultural product is an important indication to measure the agricultural development level of a region. It would be affected by many factors,having the characteristics of non- linearity. For this reason,LM- BP neural network was put forward as the model and method for predicting gross agricultural product. Taking the indications of the sown area of crop,the output of grain,sugarcane,cassava,tea,meat,aquatic products,turpentine and camellia seed,etc. as inputs,during 2000 to 2012 in Guangxi,the gross agricultural product data from the analysis of simulation experiment show that the prediction of LM- BP neural network fits well with actual results.
基金Ministry of Education of Humanities and Social Sciences Youth Project,China(No.17YJCZH154)
文摘By extending the traditional productivity theory,a new concept total productivity( TP) is introduced. Using a directional distance function approach,the concept is applied to measuring economic growth of 8 economic regions of China covering an 18 years period( 1997—2014) and test its convergence. Results showed that TP grew at an average rate of 6. 6% per year led mainly by technical change( 6. 5%). When environmental undesirable outputs are included,the Middle Yellow River,Northwest and Southwest regions of China witnessed higher productivity changes. Results of the convergence analysis revealed that China had made progress in reducing regional imbalance in growth. Inclusion of undesirable output showed that the energy-saving emission reduction policies had speed up the convergence rate of TP and environment oriented productivity. However,China's welfare oriented productivity is still very low.
文摘目的探讨总胆固醇/高密度脂蛋白胆固醇(total cholesterol/high density lipoprotein-cholesterol,TC/HDL-C)联合脉压指数(pulse pressure index,PPI)、动脉硬化指数(arteriosclerosis index,AI)对急性缺血性脑卒中(acute ischemic stroke,AIS)的预测价值。方法选取2020年10月至2022年10月安徽医科大学附属宿州医院收治的AIS患者424例纳入病例组,选取同期健康者202名纳入对照组。比较两组研究对象的TC/HDL-C、PPI、AI差异。采用多因素Logistic回归分析影响AIS的危险因素,采用受试者操作特征曲线(receiver operating characteristic curve,ROC曲线)分析TC/HDL-C、PPI、AI对AIS的预测价值。结果病例组患者的收缩压、舒张压、血糖、同型半胱氨酸均显著高于对照组(P<0.05)。病例组患者的PPI、AI、TC/HDL-C水平均显著高于对照组(P<0.05)。多因素Logistic回归分析结果显示,PPI、AI、TC/HDL-C、同型半胱氨酸、血糖升高均是发生AIS的独立危险因素(P<0.05)。ROC曲线结果显示,PPI、AI、TC/HDL-C预测AIS的曲线下面积(area under the curve,AUC)分别为0.669、0.597、0.597,三者联合预测AIS的AUC为0.774。结论TC/HDL-C、PPI、AI与AIS的发病密切相关,三者联合对AIS有较高的预测价值。
