The combination of case-based reasoning （CBR） and genetic algorithm （GA） is considered in the problem of failure mode identification in aeronautical component failure analysis. Several imple- mentation issues such...The combination of case-based reasoning （CBR） and genetic algorithm （GA） is considered in the problem of failure mode identification in aeronautical component failure analysis. Several imple- mentation issues such as matching attributes selection, similarity measure calculation, weights learning and training evaluation policies are carefully studied. The testing applications illustrate that an accuracy of 74.67 % can be achieved with 75 balanced-distributed failure cases covering 3 failure modes, and that the resulting learning weight vector can be well applied to the other 2 failure modes, achieving 73.3 % of recognition accuracy. It is also proved that its popularizing capability is good to the recognition of even more mixed failure modes.展开更多
Successful FL learners are characterized by knowing how to use language learning strategies effectively. This pilot study demonstrates the procedure to cultivate the effectiveness of the strategy training to the learn...Successful FL learners are characterized by knowing how to use language learning strategies effectively. This pilot study demonstrates the procedure to cultivate the effectiveness of the strategy training to the learners of low language proficiency. It begins with a questionnaire surveying the learners' use of strategy in language acquisition, and then a strategy training integrated with the class teaching and learners' learning diary are introduced. The analysis proves that strategy training to learners of low proficiency can become a crutch for their further study.The role of teachers in the process of the training is also discussed. The author proposes that teachers should be ready for the shift of the role to be an organizer, facilitator, councilor or cooperator, even a negotiator in the road of promoting autonomous learners.展开更多
文摘The combination of case-based reasoning （CBR） and genetic algorithm （GA） is considered in the problem of failure mode identification in aeronautical component failure analysis. Several imple- mentation issues such as matching attributes selection, similarity measure calculation, weights learning and training evaluation policies are carefully studied. The testing applications illustrate that an accuracy of 74.67 % can be achieved with 75 balanced-distributed failure cases covering 3 failure modes, and that the resulting learning weight vector can be well applied to the other 2 failure modes, achieving 73.3 % of recognition accuracy. It is also proved that its popularizing capability is good to the recognition of even more mixed failure modes.
文摘Successful FL learners are characterized by knowing how to use language learning strategies effectively. This pilot study demonstrates the procedure to cultivate the effectiveness of the strategy training to the learners of low language proficiency. It begins with a questionnaire surveying the learners' use of strategy in language acquisition, and then a strategy training integrated with the class teaching and learners' learning diary are introduced. The analysis proves that strategy training to learners of low proficiency can become a crutch for their further study.The role of teachers in the process of the training is also discussed. The author proposes that teachers should be ready for the shift of the role to be an organizer, facilitator, councilor or cooperator, even a negotiator in the road of promoting autonomous learners.
