针对传统灰狼优化算法位置更新时勘探与开发失衡,收敛速度慢且陷入局部最优的问题,提出一种改进的灰狼算法(balanced grey wolf algorithm based on fitness back learning,BGWO),引入非线性控制参数,增强算法前期勘探能力,加速收敛;在...针对传统灰狼优化算法位置更新时勘探与开发失衡,收敛速度慢且陷入局部最优的问题,提出一种改进的灰狼算法(balanced grey wolf algorithm based on fitness back learning,BGWO),引入非线性控制参数,增强算法前期勘探能力,加速收敛;在种群迭代阶段采用重心反向学习的最优适应度权重更新策略,平衡算法的勘探与开发。16组基准函数测试结果表明,改进后算法能自适应跳出局部最优,在加快算法收敛速度的同时提高全局收敛能力与精度。将BGWO应用于PV型旋风分离器粒级效率GBDT(gradient boosting decision tree)的建模,提高了GBDT的精度,模型相关系数0.980,均方误差0.00079,BGWO-GBDT与GBDT、PSO-GBDT和GWO-GBDT相对比,建模精度和稳定性明显提高,验证了BGWO的有效性。展开更多
目的探讨改良中文版儿童呼吸和哮喘控制测试(Test for Respiratory and Asthma Control in Kids Chinese Version,TRACK-C)在0~3岁哮喘婴幼儿不同患病时期的应用价值。方法选取2017年8月—2023年1月空军军医大学唐都医院小儿哮喘门诊中...目的探讨改良中文版儿童呼吸和哮喘控制测试(Test for Respiratory and Asthma Control in Kids Chinese Version,TRACK-C)在0~3岁哮喘婴幼儿不同患病时期的应用价值。方法选取2017年8月—2023年1月空军军医大学唐都医院小儿哮喘门诊中已建立标准化电子病历的203名0~3岁哮喘患儿作为哮喘组,同期100名健康儿童作为对照组。比较各组的TRACK-C评分、潮气肺功能、呼出气一氧化氮(Fractional Exhaled Nitric Oxide,FeNO)水平并进行相关性分析。结果哮喘组的FeNO、呼吸频率(Respiratory Rate,RR)和血液IgE水平高于对照组,达峰值时间比(Time to Peak Expirtory Flow/Time of Expiratory,TPTEF/TE)、达峰容积比(Volume to Peak Expiratory Flow/Volume of Expiratory,VPEF/VE)、公斤潮气量(Tidal Volume/kg,VT/KG)、TRACK-C评分水平低于对照组,差异有统计学意义(P均<0.05)。哮喘组急性期FeNO水平、RR水平高于缓解期,且TPTEF/TE、VPEF/VE、VT/KG、TRACK-C评分水平低于缓解期,差异有统计学意义(P均<0.05)。采用Pearson分析哮喘不同患病时期与各项观察指标的相关性,结果显示哮喘不同患病时期与TPTEF/TE、VPEF/VE、TRACK-C评分呈负相关(r=-0.468、-0.452、-0.289,P均<0.05)。结论TRACK-C评分可充分应用于0~3岁哮喘幼儿的病情评估,与潮气肺功能结合可以更好地对低龄患儿进行哮喘管理。展开更多
Length and concise structure of fuzzy logic reasoning program and its real-time reasoning characteris-tic have their effect on the performance of a digital single-chip fuzzy controller. The control effect of a digital...Length and concise structure of fuzzy logic reasoning program and its real-time reasoning characteris-tic have their effect on the performance of a digital single-chip fuzzy controller. The control effect of a digitalfuzzy controller based on looking up fuzzy control responding table is only relative to the table and not relative tothe fuzzy control rules in the practical control process. Aiming at above problem and having combined fuzzy log-ic reasoning with digital operational characteristics of a single-chip microcomputer, functioning-fuzzy-subset in-ference (FFSI) in binary, in which triangle membership functions of error and error-in-change are all represen-ted in binary and singleton membership functions of control variable is binary too, has been introduced. The cir-cuit principle plans of a single-chip fuzzy controller have been introduced for development of its hardware, andthe primary program structure, fuzzy logic reasoning subroutine, serial communication subroutine with PC andreliability design of the fuzzy controller are all discussed in detail. The control of indoor temperature by a fuzzycontroller has been conducted using a testing-room thermodynamic system. Research results show that the FFSIin binary can exercise a concise fuzzy control in a single-chip fuzzy controller, and the fuzzy controller is there-fore reliable and possesses a high performance-price ratio.展开更多
The present paper addresses the subject of truss damage identification using measured frequency response functions (FRF). Damage identification matrix is formed using measured FRFs obtained from truss dynamic test. Th...The present paper addresses the subject of truss damage identification using measured frequency response functions (FRF). Damage identification matrix is formed using measured FRFs obtained from truss dynamic test. Then using principal component analysis (PCA),the variable space dimensions of damage identification matrix can be reduced,and original data characters of FRFs can be analyzed and extracted from lower dimension variable space. Thus truss damages can be identified using the multivariate control chart of first several order principal components which contain almost all of original data information. Without the need for modal parameters,the method avoids the errors of modal fitting. In order to validate the reliability of the method,a whole size truss was tested with six types of damage case concerning single or two element damages. The experimental result shows that the proposed method is straightforward and reliable for truss damage identification. Especially,the method has good applicability for the truss under noisy environment and non-linear cases.展开更多
文摘针对传统灰狼优化算法位置更新时勘探与开发失衡,收敛速度慢且陷入局部最优的问题,提出一种改进的灰狼算法(balanced grey wolf algorithm based on fitness back learning,BGWO),引入非线性控制参数,增强算法前期勘探能力,加速收敛;在种群迭代阶段采用重心反向学习的最优适应度权重更新策略,平衡算法的勘探与开发。16组基准函数测试结果表明,改进后算法能自适应跳出局部最优,在加快算法收敛速度的同时提高全局收敛能力与精度。将BGWO应用于PV型旋风分离器粒级效率GBDT(gradient boosting decision tree)的建模,提高了GBDT的精度,模型相关系数0.980,均方误差0.00079,BGWO-GBDT与GBDT、PSO-GBDT和GWO-GBDT相对比,建模精度和稳定性明显提高,验证了BGWO的有效性。
文摘目的探讨改良中文版儿童呼吸和哮喘控制测试(Test for Respiratory and Asthma Control in Kids Chinese Version,TRACK-C)在0~3岁哮喘婴幼儿不同患病时期的应用价值。方法选取2017年8月—2023年1月空军军医大学唐都医院小儿哮喘门诊中已建立标准化电子病历的203名0~3岁哮喘患儿作为哮喘组,同期100名健康儿童作为对照组。比较各组的TRACK-C评分、潮气肺功能、呼出气一氧化氮(Fractional Exhaled Nitric Oxide,FeNO)水平并进行相关性分析。结果哮喘组的FeNO、呼吸频率(Respiratory Rate,RR)和血液IgE水平高于对照组,达峰值时间比(Time to Peak Expirtory Flow/Time of Expiratory,TPTEF/TE)、达峰容积比(Volume to Peak Expiratory Flow/Volume of Expiratory,VPEF/VE)、公斤潮气量(Tidal Volume/kg,VT/KG)、TRACK-C评分水平低于对照组,差异有统计学意义(P均<0.05)。哮喘组急性期FeNO水平、RR水平高于缓解期,且TPTEF/TE、VPEF/VE、VT/KG、TRACK-C评分水平低于缓解期,差异有统计学意义(P均<0.05)。采用Pearson分析哮喘不同患病时期与各项观察指标的相关性,结果显示哮喘不同患病时期与TPTEF/TE、VPEF/VE、TRACK-C评分呈负相关(r=-0.468、-0.452、-0.289,P均<0.05)。结论TRACK-C评分可充分应用于0~3岁哮喘幼儿的病情评估,与潮气肺功能结合可以更好地对低龄患儿进行哮喘管理。
基金Sponsored by the National Natural Science Foundation of China(Grant No. 59908001)Multidiscipline Scientific Research Foundation of Harbin Institute of Technology(Grant No. HIT. MD200030)
文摘Length and concise structure of fuzzy logic reasoning program and its real-time reasoning characteris-tic have their effect on the performance of a digital single-chip fuzzy controller. The control effect of a digitalfuzzy controller based on looking up fuzzy control responding table is only relative to the table and not relative tothe fuzzy control rules in the practical control process. Aiming at above problem and having combined fuzzy log-ic reasoning with digital operational characteristics of a single-chip microcomputer, functioning-fuzzy-subset in-ference (FFSI) in binary, in which triangle membership functions of error and error-in-change are all represen-ted in binary and singleton membership functions of control variable is binary too, has been introduced. The cir-cuit principle plans of a single-chip fuzzy controller have been introduced for development of its hardware, andthe primary program structure, fuzzy logic reasoning subroutine, serial communication subroutine with PC andreliability design of the fuzzy controller are all discussed in detail. The control of indoor temperature by a fuzzycontroller has been conducted using a testing-room thermodynamic system. Research results show that the FFSIin binary can exercise a concise fuzzy control in a single-chip fuzzy controller, and the fuzzy controller is there-fore reliable and possesses a high performance-price ratio.
基金the Foundation of Henan Province Key Technology R and D Program(Grant No.0423033700).
文摘The present paper addresses the subject of truss damage identification using measured frequency response functions (FRF). Damage identification matrix is formed using measured FRFs obtained from truss dynamic test. Then using principal component analysis (PCA),the variable space dimensions of damage identification matrix can be reduced,and original data characters of FRFs can be analyzed and extracted from lower dimension variable space. Thus truss damages can be identified using the multivariate control chart of first several order principal components which contain almost all of original data information. Without the need for modal parameters,the method avoids the errors of modal fitting. In order to validate the reliability of the method,a whole size truss was tested with six types of damage case concerning single or two element damages. The experimental result shows that the proposed method is straightforward and reliable for truss damage identification. Especially,the method has good applicability for the truss under noisy environment and non-linear cases.
