This paper in intended to explore the application of Self-Efficiency Theory in college English teaching. Based on an introduction to this theory, this exploration is carried out from three perspectives: to adjust the ...This paper in intended to explore the application of Self-Efficiency Theory in college English teaching. Based on an introduction to this theory, this exploration is carried out from three perspectives: to adjust the college students' learning strategies; to guide the learner autonomy in their learning process; to help teachers improve their teaching efficiency.展开更多
This paper describes the self—adjustment of some tuning-knobs of the generalized predictive controller(GPC).A three feedforward neural network was utilized to on line learn two key tuning-knobs of GPC,and BP algorith...This paper describes the self—adjustment of some tuning-knobs of the generalized predictive controller(GPC).A three feedforward neural network was utilized to on line learn two key tuning-knobs of GPC,and BP algorithm was used for the training of the linking-weights of the neural network.Hence it gets rid of the difficulty of choosing these tuning-knobs manually and provides easier condition for the wide applications of GPC on industrial plants.Simulation results illustrated the effectiveness of the method.展开更多
文摘This paper in intended to explore the application of Self-Efficiency Theory in college English teaching. Based on an introduction to this theory, this exploration is carried out from three perspectives: to adjust the college students' learning strategies; to guide the learner autonomy in their learning process; to help teachers improve their teaching efficiency.
基金Supported by the National 863 CIMS Project Foundation(863-511-010)Tianjin Natural Science Foundation(983602011)Backbone Young Teacher Project Foundation of Ministry of Education
文摘This paper describes the self—adjustment of some tuning-knobs of the generalized predictive controller(GPC).A three feedforward neural network was utilized to on line learn two key tuning-knobs of GPC,and BP algorithm was used for the training of the linking-weights of the neural network.Hence it gets rid of the difficulty of choosing these tuning-knobs manually and provides easier condition for the wide applications of GPC on industrial plants.Simulation results illustrated the effectiveness of the method.