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平衡损失下回归系数的线性容许估计 被引量:26
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作者 徐兴忠 吴启光 《数学物理学报(A辑)》 CSCD 北大核心 2000年第4期468-473,共6页
该文在平衡损失函数下 ,研究线性模型中回归系数的线性容许估计 ,得到了充要条件 .结果表明 。
关键词 线性模型 回归系数 平衡损失函数 线性容许估计
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二次损失下一般的回归系数线性估计的容许性 被引量:1
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作者 徐兴忠 《青岛海洋大学学报(自然科学版)》 CSCD 1993年第3期136-142,共7页
本文研究线性模型中一般的回归系数的估计问题,用统计决策函数理论中容许性准则,讨论了线性估计的优良性,通过将一般的非可估回归系数转化成可估的情形,得到了一个线性估计在线性估计类中是容许估计的充分必要条件。
关键词 线性模型 回归系数 线性估计 容许
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Neuro-fuzzy systems in determining light weight concrete strength
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作者 Seyed Vahid RAZAVI TOSEE Mehdi NIKOO 《Journal of Central South University》 SCIE EI CAS CSCD 2019年第10期2906-2914,共9页
The adaptive neuro-fuzzy inference systems(ANFIS)are widely used in the concrete technology.In this research,the compressive strength of light weight concrete was determined.To this end,the scoria percentage and curin... The adaptive neuro-fuzzy inference systems(ANFIS)are widely used in the concrete technology.In this research,the compressive strength of light weight concrete was determined.To this end,the scoria percentage and curing day variables were used as the input parameters,and compressive strength and tensile strength were used as the output parameters.In addition,100 patterns were used,70%of which were used for training and 30%were used for testing.To assess the precision of the neuro-fuzzy system,it was compared using two linear regression models.The comparisons were carried out in the training and testing phases.Research results revealed that the neuro-fuzzy systems model offers more potential,flexibility,and precision than the statistical models. 展开更多
关键词 neuro-fuzzy systems compressive strength light weight concrete linear regression model
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