基于不同分类器对同一样本分类能力不同,同一分类器对不同样本可分程度不同的思想,为不同样本赋予不同融合权重,提出了一种基于熵的自适应加权投票高分辨距离像(high range resolution profile,HRRP)融合识别方法。该方法将二分类相关...基于不同分类器对同一样本分类能力不同,同一分类器对不同样本可分程度不同的思想,为不同样本赋予不同融合权重,提出了一种基于熵的自适应加权投票高分辨距离像(high range resolution profile,HRRP)融合识别方法。该方法将二分类相关向量机(relevance vector machine,RVM)扩展为多类分类RVM概率模型,并对不同HRRP特征样本进行分类,利用每个多类分类RVM输出的样本后验概率信息计算出的熵值自适应为各个样本赋予权重,使得不同分类器以及同一分类器对不同样本的决策占有不同的比重,熵值越大的样本赋予的融合权重越低,最后通过加权投票方法实现融合识别,得到目标的最终识别结果。仿真实验结果验证了所提方法的有效性。展开更多
This study aims to measure how well China's green,low-carbon,and circulardevelopment economic system(theGLCCD Economic System)is being developed.By establishing the indicator system and indicators,the spatiotempor...This study aims to measure how well China's green,low-carbon,and circulardevelopment economic system(theGLCCD Economic System)is being developed.By establishing the indicator system and indicators,the spatiotemporal range entropy weight method,Gini coefficient,Theil index,convergence model,and national and provincial data from 2012 to 2017 are employed.The construction level of almost all GLCCD Economic Systems at national and provincial levels has shown improvement during the study period.Among them,a significant boost is only observed in the development power indicator;improvement in the production system indicator and development benefit indicatorismild,andthelifesystemindicator sees a decline year by year.The construction level of the GLCCD Economic System throughout China is generally balanced but tends to expand in scale.However,the inter-regional developmenttbenefit indicator showsaconvergence trend.Based on the analysis of the similarities and differences between greenandlow-carboncircular development,the development power and development benefit,production system,and life system are incorporated into a unified logical framework.The construction level of the GLCCD Economic System is measured as a whole in a holistic manner.This study finds out the scientific connotation oftheGLCCD Economic System.The changing trends and regional differences in the construction level of the GLCCD Economic System are revealed.These findings provide a clear and reliable decision-making basis for the construction of the GLCCD Economic System.展开更多
基金This paper is a phased research result of the National Natural Science Foundation of China(No.71873143)the key discipline construction program of the Summit Plan of the ChineseAcademyof Social Sciences.
文摘This study aims to measure how well China's green,low-carbon,and circulardevelopment economic system(theGLCCD Economic System)is being developed.By establishing the indicator system and indicators,the spatiotemporal range entropy weight method,Gini coefficient,Theil index,convergence model,and national and provincial data from 2012 to 2017 are employed.The construction level of almost all GLCCD Economic Systems at national and provincial levels has shown improvement during the study period.Among them,a significant boost is only observed in the development power indicator;improvement in the production system indicator and development benefit indicatorismild,andthelifesystemindicator sees a decline year by year.The construction level of the GLCCD Economic System throughout China is generally balanced but tends to expand in scale.However,the inter-regional developmenttbenefit indicator showsaconvergence trend.Based on the analysis of the similarities and differences between greenandlow-carboncircular development,the development power and development benefit,production system,and life system are incorporated into a unified logical framework.The construction level of the GLCCD Economic System is measured as a whole in a holistic manner.This study finds out the scientific connotation oftheGLCCD Economic System.The changing trends and regional differences in the construction level of the GLCCD Economic System are revealed.These findings provide a clear and reliable decision-making basis for the construction of the GLCCD Economic System.