To solve the increasing model complexity due to several input variables and large correlations under variable load conditions,a dynamic modeling method combining a kernel extreme learning machine(KELM)and principal co...To solve the increasing model complexity due to several input variables and large correlations under variable load conditions,a dynamic modeling method combining a kernel extreme learning machine(KELM)and principal component analysis(PCA)was proposed and applied to the prediction of nitrogen oxide(NO_(x))concentration at the outlet of a selective catalytic reduction(SCR)denitrification system.First,PCA is applied to the feature information extraction of input data,and the current and previous sequence values of the extracted information are used as the inputs of the KELM model to reflect the dynamic characteristics of the NO_(x)concentration at the SCR outlet.Then,the model takes the historical data of the NO_(x)concentration at the SCR outlet as the model input to improve its accuracy.Finally,an optimization algorithm is used to determine the optimal parameters of the model.Compared with the Gaussian process regression,long short-term memory,and convolutional neural network models,the prediction errors are reduced by approximately 78.4%,67.6%,and 59.3%,respectively.The results indicate that the proposed dynamic model structure is reliable and can accurately predict NO_(x)concentrations at the outlet of the SCR system.展开更多
This multivariate study investigated whether Parental Support, Teacher Support, and Academic Motivation mediate the relationship between Parental Status （i.e., children from single or both parents homes） and Academi...This multivariate study investigated whether Parental Support, Teacher Support, and Academic Motivation mediate the relationship between Parental Status （i.e., children from single or both parents homes） and Academic Performance, The research design used for the study was a cross sectional survey using the quantitative approach. Data set from 250 primary school pupils from the Effutu Municipality were analysed using partial correlation and multiple regression analytical techniques. Among the study findings, that were when the effects of Parental Status were controlled for, Parental Support, Teacher Support, and Academic Motivation still related significantly to Academic Performance. Among the conclusions of the findings are that, whether the child was from a single or both parent home was not important with regard to his or her academic performance but rather it was the quality of support that the child gets from whoever is doing the parenting, teacher support and the child＇s own academic motivation that were important to determine the child＇s Academic Performance. The study also found that Parental Support was the best predictor of the pupils＇ Academic Performance out of the three factors includingTeacher Support and Academic Motivation.展开更多
This paper is on the study of motivational changes of Chinese non-English major students in their first two years of college English learning. The current study was carried out through the quantitative research method...This paper is on the study of motivational changes of Chinese non-English major students in their first two years of college English learning. The current study was carried out through the quantitative research method. The research question to be addressed is：During the first two years of college English learning, does non-English majors＇ learning motivation （i.e. types of motivation and motivational intensity） change？ The analyses of the data reveal that motivational changes do exist in the first two years of college English learning. Generally, most types of motivation （i.e. intrinsic interest motivation, information medium motivation, personal development motivation, and social responsibility motivation） decrease significantly except for the slight increase of immediate achievement motivation, and the decline of motivational intensity is also obvious.展开更多
基金The National Natural Science Foundation of China(No.71471060)the Natural Science Foundation of Hebei Province(No.E2018502111)。
文摘To solve the increasing model complexity due to several input variables and large correlations under variable load conditions,a dynamic modeling method combining a kernel extreme learning machine(KELM)and principal component analysis(PCA)was proposed and applied to the prediction of nitrogen oxide(NO_(x))concentration at the outlet of a selective catalytic reduction(SCR)denitrification system.First,PCA is applied to the feature information extraction of input data,and the current and previous sequence values of the extracted information are used as the inputs of the KELM model to reflect the dynamic characteristics of the NO_(x)concentration at the SCR outlet.Then,the model takes the historical data of the NO_(x)concentration at the SCR outlet as the model input to improve its accuracy.Finally,an optimization algorithm is used to determine the optimal parameters of the model.Compared with the Gaussian process regression,long short-term memory,and convolutional neural network models,the prediction errors are reduced by approximately 78.4%,67.6%,and 59.3%,respectively.The results indicate that the proposed dynamic model structure is reliable and can accurately predict NO_(x)concentrations at the outlet of the SCR system.
文摘This multivariate study investigated whether Parental Support, Teacher Support, and Academic Motivation mediate the relationship between Parental Status （i.e., children from single or both parents homes） and Academic Performance, The research design used for the study was a cross sectional survey using the quantitative approach. Data set from 250 primary school pupils from the Effutu Municipality were analysed using partial correlation and multiple regression analytical techniques. Among the study findings, that were when the effects of Parental Status were controlled for, Parental Support, Teacher Support, and Academic Motivation still related significantly to Academic Performance. Among the conclusions of the findings are that, whether the child was from a single or both parent home was not important with regard to his or her academic performance but rather it was the quality of support that the child gets from whoever is doing the parenting, teacher support and the child＇s own academic motivation that were important to determine the child＇s Academic Performance. The study also found that Parental Support was the best predictor of the pupils＇ Academic Performance out of the three factors includingTeacher Support and Academic Motivation.
文摘This paper is on the study of motivational changes of Chinese non-English major students in their first two years of college English learning. The current study was carried out through the quantitative research method. The research question to be addressed is：During the first two years of college English learning, does non-English majors＇ learning motivation （i.e. types of motivation and motivational intensity） change？ The analyses of the data reveal that motivational changes do exist in the first two years of college English learning. Generally, most types of motivation （i.e. intrinsic interest motivation, information medium motivation, personal development motivation, and social responsibility motivation） decrease significantly except for the slight increase of immediate achievement motivation, and the decline of motivational intensity is also obvious.
